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67290
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My own site! by @sohan-jedidiah | Stardance
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sohan-jedidiah
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0
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0.0
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0
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[]
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[]
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Title: My own site! by @sohan-jedidiah | Stardance
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1793731655.483522
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1794336455.483522
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67289
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My awesome macropad! by @jungshook0708 | Stardance
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jungshook0708
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0
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0.0
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0
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[]
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[]
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Title: My awesome macropad! by @jungshook0708 | St Title: My awesome macropad! by @jungshook0708 | Stardance...
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1793731652.9755013
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1794336452.9755013
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67288
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Math Canvas by @Nivedh_Govil | Stardance
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Nivedh_Govil
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1
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4.0
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0
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[{"ship_num": 1, "ts": "2026-1 [{"ship_num": 1, "ts": "2026-10-09T11:13:16Z", "hours": 4.0, "multiplier": null, "payout": 0, "blessing": "neutral", "text": "I made a website called Math Canvas, an interactive Math and Physics Visualizer. It has 3 modes: Graph Plot (You can plot graphs here), Statistics (run statistics on data), Projectile Motion (Analyse a projectile’s trajectory). I didn’t use HTML for this website; instead, I coded it in Streamlit, a Python library for building web apps. I also used Matplotlib for the graph plotting and NumPy to help in creating arrays and dealing with numbers. This website took around 4 hours to build, and it was an engaging experience for me. Over time, I will add more and more features to the website. I have uploaded the source code and deployed it using Streamlit.", "repo": "https://github.com/NivedhGovil/MathCanvas", "demo": "https://mathcanvas.onrender.com/"}]...
|
[{"post_id": 78047, "ts": "202 [{"post_id": 78047, "ts": "2026-10-09T11:08:17Z", "hours": 0.4264, "text": "Math Canvas Finished the website! Here’s what it is: 3 Modes: Graph Plot, StartFX and Project I Motion. In the graph plot there are different options for graphs, like constant, linear, quadratic, etc., and you enter inputs such as the amplitude, frequency, coefficient of x, etc, and the website plots the graph. In Statistics, you enter 3 to 10 numbers and you get a full statistical run on it, which includes the mean, median, variance, standard deviation, and more. In the projectile motion mode, you can enter the initial velocity, angle of projection, and more, and the time of flight, maximum height, horizontal range, and complete trajectory of the projectile are shown on the screen. This website uses no HTML. It is powered by Streamlit, a library in Python which is used to build websites. If you want to visit the website, go to mathcanvas.streamlit.app."}, {"post_id": 76773, "ts": "2026-10-04T15:14:37Z", "hours": 0.6322, "text": "MathCanvas Devlog 3 Today, I worked on the projectile motion mode. The user has to input the initial velocity, angle of projection, and mass. The horizontal range, maximum height travelled, and more data are automatically computed, and the trajectory is shown on a graph. It’s almost done. Looking forward to completing it tomorrow!"}, {"post_id": 76433, "ts": "2026-10-03T14:34:10Z", "hours": 0.7436, "text": "Math Canvas Devlog 2 Coding the statistics page today. The user inputs n numbers, and the app displays their mean, median, variance, and more. A bar chart is also shown. Still didn’t use a single HTML element and used Streamlit-based CSS for the background color."}, {"post_id": 76162, "ts": "2026-10-02T15:29:19Z", "hours": 1.925, "text": "Done a lot of work today. Made the landing page, mode choices, and the webpages for the different modes of equations. Didn’t work on the statistics mode, but will do it tomorrow. Learnt lots today! Can’t believe that it’s done with no HTML and CSS!"}]...
|
Title: Math Canvas by @Nivedh_Govil | Stardance
D Title: Math Canvas by @Nivedh_Govil | Stardance
Devlogs:
Done a lot of work today. Made the landing page, mode choices, and the webpages for the different modes of equations. Didn’t work on the statistics mode, but will do it tomorrow. Learnt lots today! Can’t believe that it’s done with no HTML and CSS!
Math Canvas Devlog 2 Coding the statistics page today. The user inputs n numbers, and the app displays their mean, median, variance, and more. A bar chart is also shown. Still didn’t use a single HTML element and used Streamlit-based CSS for the background color.
MathCanvas Devlog 3 Today, I worked on the projectile motion mode. The user has to input the initial velocity, angle of projection, and mass. The horizontal range, maximum height travelled, and more data are automatically computed, and the trajectory is shown on a graph. It’s almost done. Looking forward to completing it tomorrow!
Math Canvas Finished the website! Here’s what it is: 3 Modes: Graph Plot, StartFX and Project I Motion. In the graph plot there are different options for graphs, like constant, linear, quadratic, etc., and you enter inputs such as the amplitude, frequency, coefficient of x, etc, and the website plots the graph. In Statistics, you enter 3 to 10 numbers and you get a full statistical run on it, which includes the mean, median, variance, standard deviation, and more. In the projectile motion mode, you can enter the initial velocity, angle of projection, and more, and the time of flight, maximum height, horizontal range, and complete trajectory of the projectile are shown on the screen. This website uses no HTML. It is powered by Streamlit, a library in Python which is used to build websites. If you want to visit the website, go to mathcanvas.streamlit.app.
Ships:
I made a website called Math Canvas, an interactive Math and Physics Visualizer. It has 3 modes: Graph Plot (You can plot graphs here), Statistics (run statistics on data), Projectile Motion (Analyse a projectile’s trajectory). I didn’t use HTML for this website; instead, I coded it in Streamlit, a Python library for building web apps. I also used Matplotlib for the graph plotting and NumPy to help in creating arrays and dealing with numbers. This website took around 4 hours to build, and it was an engaging experience for me. Over time, I will add more and more features to the website. I have uploaded the source code and deployed it using Streamlit....
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1794059280.804002
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1794145680.804002
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67287
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My awesome macropad! by @duveladam | Stardance
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duveladam
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0
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0.0
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0
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[]
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[]
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Title: My awesome macropad! by @duveladam | Starda Title: My awesome macropad! by @duveladam | Stardance...
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1793728625.1687462
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1794333425.1687462
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67286
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Wario game fam by @krisS | Stardance
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krisS
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0
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0.0
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0
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[]
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[]
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Title: Wario game fam by @krisS | Stardance
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1793728623.0818484
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1794333423.0818484
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67285
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My own site! by @yadavkshitij899 | Stardance
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yadavkshitij899
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0
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0.0
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0
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[]
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[]
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Title: My own site! by @yadavkshitij899 | Stardanc Title: My own site! by @yadavkshitij899 | Stardance...
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1793728619.8036597
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1794333419.8036597
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67284
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NULL
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NULL
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0
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0.0
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[]
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[]
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1793760484.9531052
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1794624484.9531052
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67283
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My own site! by @Flapant | Stardance
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Flapant
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0
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0.0
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0
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[]
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[]
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Title: My own site! by @Flapant | Stardance
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1793728618.9029114
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1794333418.9029114
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67282
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Mk1 DB by @Zhen_Yang | Stardance
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Zhen_Yang
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0
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0.0
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0
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[]
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[]
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Title: Mk1 DB by @Zhen_Yang | Stardance
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1793728616.7272732
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1794333416.7272732
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67281
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Fuse-da-Bot by @shra2408 | Stardance
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shra2408
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0
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0.0
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0
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[]
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[]
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Title: Fuse-da-Bot by @shra2408 | Stardance
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1793728613.3578181
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1794333413.3578181
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67280
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Routine Tracker by @Imole | Stardance
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Imole
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0
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0.0
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0
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[]
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[]
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Title: Routine Tracker by @Imole | Stardance
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1793728607.7166922
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1794592607.7166922
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67279
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My own site! by @preethambollineni2013 | Stardance
|
preethambollineni2013
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2
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0.0
|
0
|
[{"ship_num": 1, "ts": "2026-1 [{"ship_num": 1, "ts": "2026-10-18T07:16:14Z", "hours": 0.0, "multiplier": 1.12, "payout": 0, "blessing": "neutral", "text": "A personal website , I did it before but didn’t like colour and font , so I changed.", "repo": "https://github.com/preethambollineni2013/preethambollineni2013.github.io", "demo": "https://preethambollineni2013.github.io/"}, {"ship_num": 2, "ts": "2026-10-11T01:25:16Z", "hours": 0.0, "multiplier": null, "payout": 0, "blessing": "neutral", "text": "I made a personal website for myself. Since I was a starter i found difficult in GitHub. You can see my website by visiting preethambollineni2013.github.io", "repo": "https://github.com/preethambollineni2013/preethambollineni2013.github.io", "demo": "https://preethambollineni2013.github.io/"}]...
|
[{"post_id": 80587, "ts": "202 [{"post_id": 80587, "ts": "2026-10-18T07:14:06Z", "hours": 0.2778, "text": "Changed the colour scheme and Font"}, {"post_id": 78338, "ts": "2026-10-10T14:13:37Z", "hours": 0.28, "text": "My Own Site"}]...
|
Title: My own site! by @preethambollineni2013 | St Title: My own site! by @preethambollineni2013 | Stardance
Devlogs:
My Own Site
Changed the colour scheme and Font
Ships:
I made a personal website for myself. Since I was a starter i found difficult in GitHub. You can see my website by visiting preethambollineni2013.github.io
A personal website , I did it before but didn’t like colour and font , so I changed....
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1794059277.871828
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1794145677.871828
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67278
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NULL
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NULL
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0
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0.0
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0
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[]
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[]
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1793760482.9382317
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1794624482.9382317
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67277
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Not LLM by @theskriptkid | Stardance
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theskriptkid
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0
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3.84
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0
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[]
|
[{"post_id": 77025, "ts": "202 [{"post_id": 77025, "ts": "2026-10-05T12:27:38Z", "hours": 3.8403, "text": "Welcome to NotLLM! The goal is to make Not an LLM. But chatting to it should feel like it is an LLM. What do I mean? I am trying to make an Rule Based “AI” wich feels like an real AI, while having absolutly nothing to do with an AI."}]...
|
Title: Not LLM by @theskriptkid | Stardance
Devlo Title: Not LLM by @theskriptkid | Stardance
Devlogs:
Welcome to NotLLM! The goal is to make Not an LLM. But chatting to it should feel like it is an LLM. What do I mean? I am trying to make an Rule Based “AI” wich feels like an real AI, while having absolutly nothing to do with an AI....
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1793728606.8482635
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1794333406.8482635
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67276
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My own site! by @Sabeera_Macan_Markar | Stardance
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Sabeera_Macan_Markar
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0
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0.0
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0
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[]
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[]
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Title: My own site! by @Sabeera_Macan_Markar | Sta Title: My own site! by @Sabeera_Macan_Markar | Stardance...
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1793728603.7852135
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1794333403.7852135
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67275
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NULL
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NULL
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0
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0.0
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0
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[]
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[]
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1793760482.0855
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1794624482.0855
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67274
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My very own WebOS by @Tekopic | Stardance
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Tekopic
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0
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0.0
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0
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[]
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[]
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Title: My very own WebOS by @Tekopic | Stardance
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1793728601.6572368
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1794333401.6572368
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67273
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My HackPad by @MohammadAbdulKhaliq | Stardance
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MohammadAbdulKhaliq
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0
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0.0
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0
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[]
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[]
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Title: My HackPad by @MohammadAbdulKhaliq | Starda Title: My HackPad by @MohammadAbdulKhaliq | Stardance...
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1793728600.7679048
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1794333400.7679048
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67272
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NULL
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NULL
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0
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0.0
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0
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[]
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[]
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1793760480.2931054
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1794624480.2931054
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67271
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My own site! by @zairjohnson627 | Stardance
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zairjohnson627
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0
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0.0
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0
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[]
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[]
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Title: My own site! by @zairjohnson627 | Stardance
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1793728599.858048
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1794333399.858048
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67270
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music bluetooth player by @builder-00 | Stardance
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builder-00
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0
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0.0
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0
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[]
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[]
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Title: music bluetooth player by @builder-00 | Sta Title: music bluetooth player by @builder-00 | Stardance...
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1793728596.5117745
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1794333396.5117745
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67269
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NULL
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NULL
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0
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0.0
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0
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[]
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[]
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1793760479.4341347
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1794624479.4341347
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67268
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My awesome macropad! by @MACOS | Stardance
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MACOS
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0
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0.0
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0
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[]
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[]
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Title: My awesome macropad! by @MACOS | Stardance
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1793728594.413237
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1794333394.413237
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67267
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Set of Tasks by @Imtiaz | Stardance
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Imtiaz
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0
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0.0
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0
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[]
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[]
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Title: Set of Tasks by @Imtiaz | Stardance
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1793728592.2236955
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1794333392.2236955
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67266
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My first slack bot! by @stefa | Stardance
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stefa
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0
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0.0
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0
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[]
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[]
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Title: My first slack bot! by @stefa | Stardance
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1793728590.0597208
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1794333390.0597208
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67265
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TetoPet by @Kaori | Stardance
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Kaori
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0
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0.0
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0
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[]
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[]
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Title: TetoPet by @Kaori | Stardance
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1793728589.1402488
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1794333389.1402488
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67264
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Sunless-pad by @cosmic79conqueror | Stardance
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cosmic79conqueror
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0
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2.05
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0
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[]
|
[{"post_id": 76153, "ts": "202 [{"post_id": 76153, "ts": "2026-10-02T14:45:27Z", "hours": 1.0939, "text": "done with cad the cad project is done now too!! phew it really was hard work. i got a few warnings and errors and had to use ai to help me debug them. NOw moving onto arduino"}, {"post_id": 75892, "ts": "2026-10-01T14:54:09Z", "hours": 0.9586, "text": "made the sc and pcb I really wanted sunny’s weaver mask on my hackpad cad but it didnt happen so i researched and setteled on a half oni mask. i made the schematic and pcb and downloaded the oni model. next i have to do the cad and firmware"}]...
|
Title: Sunless-pad by @cosmic79conqueror | Stardan Title: Sunless-pad by @cosmic79conqueror | Stardance
Devlogs:
made the sc and pcb I really wanted sunny’s weaver mask on my hackpad cad but it didnt happen so i researched and setteled on a half oni mask. i made the schematic and pcb and downloaded the oni model. next i have to do the cad and firmware
done with cad the cad project is done now too!! phew it really was hard work. i got a few warnings and errors and had to use ai to help me debug them. NOw moving onto arduino...
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1793728584.5917466
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1794333384.5917466
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67263
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FoldCheck by @bigkhanfsnewnew | Stardance
|
bigkhanfsnewnew
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1
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28.0
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0
|
[{"ship_num": 1, "ts": "2026-1 [{"ship_num": 1, "ts": "2026-10-30T16:44:19Z", "hours": 28.0, "multiplier": null, "payout": 0, "blessing": "neutral", "text": "I made FoldCheck!! Its an interactive website that lets you explore and analyse AlphaFold protein predictions, including 3D protein structures, confidence scores, PAE heatmaps, functional regions and comparisons with experimental structures! The most challenging part was definitely getting everything to work together, especially the 3D models and connecting them to the actual scientific data. There were SO many bugs along the way, and sometimes fixing one error would cause another 😭 Im especially proud of the interactive 3D viewer and the ability to compare predicted structures with experimental ones! I’ve also learnt so much about protein biology and coding throughout this project. If you’re testing FoldCheck, try searching for different proteins, clicking on individual amino acids, exploring the confidence scores and PAE heatmaps, and using the experimental comparison feature! Some proteins might not have experimental structures available, so try a few different ones! After 28 hours of coding, im FINALLY shipping FoldCheck!!!", "repo": "https://github.com/youyuisef/FoldCheck", "demo": "https://fold-check-seven.vercel.app"}]...
|
[{"post_id": 84953, "ts": "202 [{"post_id": 84953, "ts": "2026-10-30T16:39:42Z", "hours": 7.1544, "text": "FINALLY!! FoldCheck is ready to ship!!! After so much time coding, fixing errors, testing stuff and adding new features, I’ve finally got FoldCheck to a stage where im happy with it! Since my last devlog, I’ve added a bunch of new things, including interactive 3D protein models, AlphaFold confidence analysis, PAE heatmaps, amino acid and atom information, functional regions and even comparisons with experimental protein structures! One of the hardest parts was definitely getting the 3D models to work properly, especially linking the scientific data with the actual protein structures. There were so many errors along the way, and sometimes fixing one thing would break another 😭 But I’ve learnt so much about proteins, AlphaFold, coding and how scientific software actually works! I also used AI throughout development to help with coding, debugging and understanding concepts I wasn’t familiar with, which was really useful! I did have plans for mutation analysis too, but I’ve decided to leave that for a future personal project rather than rushing it into FoldCheck. The whole point of FoldCheck was to show that just because a predicted protein structure looks accurate, it doesnt mean we should automatically trust every part of it! And now I’ve finally got a working tool that lets people actually investigate that!! I’ve also successfully uploaded the entire project to GitHub, which took a surprising amount of troubleshooting itself 😭 Anyways, im really happy with how far this project has come, and I can’t believe im finally saying this, but FOLDCHECK IS READY TO SHIP!!! 🧬🚀"}, {"post_id": 80399, "ts": "2026-10-17T14:55:08Z", "hours": 6.3419, "text": "Devlog 7: Since Devlog 6, I’ve made a lot of progress in expanding FoldCheck’s biological information and making the Region Explorer much more detailed. I started by integrating more data from UniProt, allowing users to explore annotated functional regions of a protein, including their names, residue positions, lengths and biological roles. One major addition was the ability to investigate protein interactions, where FoldCheck retrieves information about interaction partners, their functions, UniProt accessions and available experimental evidence. I also added supporting research references, including PubMed publications, and developed a system that connects biological findings to the protein being explored. A challenge I faced was making this information work dynamically across different proteins, rather than hardcoding information specifically for p53. I also had to fix several issues involving matching interaction partners, retrieving the correct biological information and preventing empty or repetitive sections from appearing. FoldCheck can now provide much more detailed explanations of functional regions and protein interactions, helping users understand not just the 3D structure, but also the biological evidence behind it. Next, I’m working on a dedicated PAE analysis page to help users investigate uncertainty in the relative positions of different parts of a protein! I know I said PAE last time but I got distracted.. MB!"}, {"post_id": 78095, "ts": "2026-10-09T15:33:57Z", "hours": 4.6989, "text": "Devlog 6: since Devlog 5, I’ve made a lot of progress into turning FoldCheck into a more advanced and detailed tool. I’ve started by extracting the pLDDT confidence scores for p53 and linking them, so they display in the details panel on the right, adding confidence classifications and explanations of what different confidence meanings. I also expanded the information to include amino acid properties, chemical composition and the function of the region. another major addition was the Atom Explorer, which provides information about individual atoms, including their chemical elements, bonds and roles, within a selected part. a challenge i faced was building a search system, where typing a specific residue/atom actually finds it for you in the Mol*, takes you to it and clearly highlights it for you. i devloped a 3-level autocomplete system that suggests amino acids, real residue positions and actual atom names (for example: ARG 158 CA) extracted from the loaded structure. Along the way, several bugs were encountered, like atom extraction and resetting selections. I also added a Reset View button and improved how the panel responds to selections. Foldcheck now allows users to explore p53 from the whole-protein level down to individual atoms while connecting the 3d structure to scientific explanations and confidence data. Next step, PAE!"}, {"post_id": 76747, "ts": "2026-10-04T14:00:10Z", "hours": 2.4967, "text": "Devlog 5: FoldCheck can finally interact with real AlphaFold structures. Today I worked on connecting FoldCheck’s interface to the actual molecular structure inside Mol*.I first changed the 3D viewer so it can load a real AlphaFold prediction for p53 (UniProt P04637) while keeping the original 1CRN structure as the homepage demo. The bigger challenge was getting clicks inside Mol* back into React. After working through Mol*’s interaction events, FoldCheck can now detect which part of the protein I click and identify the real residue, for example MET 384, PHE 270 or SER 269 on Chain A.I then connected that data to the FoldCheck workspace, so the Selection Details panel updates automatically when a different residue is selected. I also found an important UX problem while testing: clicking individual atoms can expose Mol* labels like CG [idx 1946] | LEU 252 | A, which aren’t beginner-friendly at all. I’m going to replace these raw labels with structured information and build a dedicated The Basics section that explains the scientific concepts used throughout FoldCheck. Next Ill be extracting the actual pLDDT confidence value for the selected residue and turning the selection panel into an actual evidence based analysis"}, {"post_id": 76406, "ts": "2026-10-03T13:17:13Z", "hours": 1.9114, "text": "FoldCheck has real 3D proteins now. Today I started building the actual interactive side of FoldCheck. I installed Mol* into the project and created a separate React component for the molecular viewer. I then connected that component to FoldCheck and built the first version of the 3D protein workspace. There were a few problems getting Mol* working with the project, mainly incorrect import paths and getting the package to work properly with Vite. After debugging those, I managed to load 1CRN, a real protein structure from the Protein Data Bank, directly inside FoldCheck. The structure is now fully interactive, I can rotate it, zoom in and explore it in 3D. The current Mol* controls are only temporary. I also decided that the finished FoldCheck won’t just be one massive scrolling page. Searching for a protein will eventually open a dedicated analysis workspace with separate sections for the 3D structure, confidence, PAE, geometry and experimental comparison. Next I’m going to turn this basic viewer into that proper workspace and start connecting FoldCheck to real AlphaFold prediction data."}, {"post_id": 76183, "ts": "2026-10-02T16:48:03Z", "hours": 1.2936, "text": "Today I worked on one of the parts of FoldCheck I’ve been looking forward to building which is the opening cinematic. I wanted someone opening FoldCheck to understand why protein structure matters before being thrown straight into scientific data, so the intro now follows the story from the human body → cell → amino acids → folded protein → AlphaFold prediction → uncertainty → FoldCheck. The first few scenes use detailed scientific-style visuals with animated labels and transitions, and I built the whole sequence to automatically move between stages while still letting users skip it or replay it later. I also added progress indicators, subtle movement, responsive layouts and a final FoldCheck scene that introduces the different types of evidence the project will eventually bring together. I also learnt a slightly painful lesson about CSS today 😭. While rebuilding the cinematic styling I accidentally wiped the original homepage styles, which turned the entire landing page into basically raw HTML. After a lot of debugging, I reconstructed the stylesheet section by section, fixed several syntax issues, and finally got both the cinematic and the original homepage working together again with no errors. The cinematic isn’t completely finished yet. Some labels still need to be positioned more accurately, and the AlphaFold and uncertainty scenes currently use temporary protein graphics that I want to replace with much better molecular visuals. But the full journey now works from beginning to end, and FoldCheck finally has the opening story I imagined when I planned the project .Next: polish those last cinematic visuals, then start the big part which is loading real AlphaFold protein data and building the interactive 3D analysis workspace."}, {"post_id": 76137, "ts": "2026-10-02T13:42:53Z", "hours": 2.48, "text": "DEVLOG 2: Most of this session went into turning the rough interface from my first devlog into the actual visual direction I had in mind for the project. I built out the main landing experience with a much more deliberate scientific/workstation style. The hero now introduces the main idea behind FoldCheck that a protein prediction is only the beginning of an investigation and I added an animated molecular visual with orbiting elements, a scanning effect and subtle movement to make the page feel alive without turning it into a generic science website. I also built the protein exploration section, including the search interface and example proteins, and added a section explaining the main idea behind the project. Eventually I want every interesting region to be something you can actually investigate and understand. A surprisingly large amount of time went into CSS 😭. I worked on the typography, spacing, dark interface, responsive behaviour, animations, buttons, search components and all the smaller details that make the different sections feel like one product rather than separate pieces. I also cleaned up the React structure and fixed some mismatches between my JSX and CSS that were stopping parts of the design from displaying properly. The interface is still only the shell though. The next part I’m working on is an opening cinematic that goes from the human body → cell → amino-acid sequence → folded protein → AlphaFold prediction, which should explain why FoldCheck exists before someone starts using it. After that comes the part I’m most excited about: an interactive 3D molecular viewer."}, {"post_id": 76010, "ts": "2026-10-02T01:10:09Z", "hours": 1.5992, "text": "Devlog FC 1: New project!! And this one might be slightly crazy I started FoldCheck today. The idea came from something I found really interesting while looking into AlphaFold (an AI that predicts how proteins look): a predicted protein can look incredibly convincing in 3D, but that doesn’t necessarily mean every part of the prediction has the same level of confidence/is biologically accurate. That gave me the idea for FoldCheck. Instead of just showing someone a cool-looking protein model or giving it some random “accuracy score”, I want to build a tool where you can actually investigate the prediction. My goal is to eventually combine things like pLDDT, PAE, structural checks and experimental structures, then let you click into suspicious regions and understand why they deserve attention.A lot of today was honestly figuring out how I could turn that idea into something I can actually build. I planned out the main features and the science I’ll need, then set up the React project and started the website itself. I built the navigation, introduction, protein search area, example proteins and started designing the dark scientific interface. I also spent way longer than expected getting Hackatime working because it originally thought FoldCheck was my other project!. I eventually figured out how to give this workspace its own FoldCheck project, and seeing it finally appear separately was strangely satisfying. There’s still a lot left. Right now I’ve basically built the foundation. Next I want to get a real protein into the site, retrieve actual AlphaFold data, display the structure in interactive 3D and start analysing real pLDDT confidence values. This is definitely the hardest project I’ve attempted so far, which is also why I’m really excited about it. Hopefully the difference between this first screenshot and the finished FoldCheck is crazy!"}]...
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Title: FoldCheck by @bigkhanfsnewnew | Stardance
Title: FoldCheck by @bigkhanfsnewnew | Stardance
Devlogs:
Devlog FC 1: New project!! And this one might be slightly crazy I started FoldCheck today. The idea came from something I found really interesting while looking into AlphaFold (an AI that predicts how proteins look): a predicted protein can look incredibly convincing in 3D, but that doesn’t necessarily mean every part of the prediction has the same level of confidence/is biologically accurate. That gave me the idea for FoldCheck. Instead of just showing someone a cool-looking protein model or giving it some random “accuracy score”, I want to build a tool where you can actually investigate the prediction. My goal is to eventually combine things like pLDDT, PAE, structural checks and experimental structures, then let you click into suspicious regions and understand why they deserve attention.A lot of today was honestly figuring out how I could turn that idea into something I can actually build. I planned out the main features and the science I’ll need, then set up the React project and started the website itself. I built the navigation, introduction, protein search area, example proteins and started designing the dark scientific interface. I also spent way longer than expected getting Hackatime working because it originally thought FoldCheck was my other project!. I eventually figured out how to give this workspace its own FoldCheck project, and seeing it finally appear separately was strangely satisfying. There’s still a lot left. Right now I’ve basically built the foundation. Next I want to get a real protein into the site, retrieve actual AlphaFold data, display the structure in interactive 3D and start analysing real pLDDT confidence values. This is definitely the hardest project I’ve attempted so far, which is also why I’m really excited about it. Hopefully the difference between this first screenshot and the finished FoldCheck is crazy!
DEVLOG 2: Most of this session went into turning the rough interface from my first devlog into the actual visual direction I had in mind for the project. I built out the main landing experience with a much more deliberate scientific/workstation style. The hero now introduces the main idea behind FoldCheck that a protein prediction is only the beginning of an investigation and I added an animated molecular visual with orbiting elements, a scanning effect and subtle movement to make the page feel alive without turning it into a generic science website. I also built the protein exploration section, including the search interface and example proteins, and added a section explaining the main idea behind the project. Eventually I want every interesting region to be something you can actually investigate and understand. A surprisingly large amount of time went into CSS 😭. I worked on the typography, spacing, dark interface, responsive behaviour, animations, buttons, search components and all the smaller details that make the different sections feel like one product rather than separate pieces. I also cleaned up the React structure and fixed some mismatches between my JSX and CSS that were stopping parts of the design from displaying properly. The interface is still only the shell though. The next part I’m working on is an opening cinematic that goes from the human body → cell → amino-acid sequence → folded protein → AlphaFold prediction, which should explain why FoldCheck exists before someone starts using it. After that comes the part I’m most excited about: an interactive 3D molecular viewer.
Today I worked on one of the parts of FoldCheck I’ve been looking forward to building which is the opening cinematic. I wanted someone opening FoldCheck to understand why protein structure matters before being thrown straight into scientific data, so the intro now follows the story from the human body → cell → amino acids → folded protein → AlphaFold prediction → uncertainty → FoldCheck. The first few scenes use detailed scientific-style visuals with animated labels and transitions, and I built the whole sequence to automatically move between stages while still letting users skip it or replay it later. I also added progress indicators, subtle movement, responsive layouts and a final FoldCheck scene that introduces the different types of evidence the project will eventually bring together. I also learnt a slightly painful lesson about CSS today 😭. While rebuilding the cinematic styling I accidentally wiped the original homepage styles, which turned the entire landing page into basically raw HTML. After a lot of debugging, I reconstructed the stylesheet section by section, fixed several syntax issues, and finally got both the cinematic and the original homepage working together again with no errors. The cinematic isn’t completely finished yet. Some labels still need to be positioned more accurately, and the AlphaFold and uncertainty scenes currently use temporary protein graphics that I want to replace with much better molecular visuals. But the full journey now works from beginning to end, and FoldCheck finally has the opening story I imagined when I planned the project .Next: polish those last cinematic visuals, then start the big part which is loading real AlphaFold protein data and building the interactive 3D analysis workspace.
FoldCheck has real 3D proteins now. Today I started building the actual interactive side of FoldCheck. I installed Mol* into the project and created a separate React component for the molecular viewer. I then connected that component to FoldCheck and built the first version of the 3D protein workspace. There were a few problems getting Mol* working with the project, mainly incorrect import paths and getting the package to work properly with Vite. After debugging those, I managed to load 1CRN, a real protein structure from the Protein Data Bank, directly inside FoldCheck. The structure is now fully interactive, I can rotate it, zoom in and explore it in 3D. The current Mol* controls are only temporary. I also decided that the finished FoldCheck won’t just be one massive scrolling page. Searching for a protein will eventually open a dedicated analysis workspace with separate sections for the 3D structure, confidence, PAE, geometry and experimental comparison. Next I’m going to turn this basic viewer into that proper workspace and start connecting FoldCheck to real AlphaFold prediction data.
Devlog 5: FoldCheck can finally interact with real AlphaFold structures. Today I worked on connecting FoldCheck’s interface to the actual molecular structure inside Mol*.I first changed the 3D viewer so it can load a real AlphaFold prediction for p53 (UniProt P04637) while keeping the original 1CRN structure as the homepage demo. The bigger challenge was getting clicks inside Mol* back into React. After working through Mol*’s interaction events, FoldCheck can now detect which part of the protein I click and identify the real residue, for example MET 384, PHE 270 or SER 269 on Chain A.I then connected that data to the FoldCheck workspace, so the Selection Details panel updates automatically when a different residue is selected. I also found an important UX problem while testing: clicking individual atoms can expose Mol* labels like CG [idx 1946] | LEU 252 | A, which aren’t beginner-friendly at all. I’m going to replace these raw labels with structured information and build a dedicated The Basics section that explains the scientific concepts used throughout FoldCheck. Next Ill be extracting the actual pLDDT confidence value for the selected residue and turning the selection panel into an actual evidence based analysis
Devlog 6: since Devlog 5, I’ve made a lot of progress into turning FoldCheck into a more advanced and detailed tool. I’ve started by extracting the pLDDT confidence scores for p53 and linking them, so they display in the details panel on the right, adding confidence classifications and explanations of what different confidence meanings. I also expanded the information to include amino acid properties, chemical composition and the function of the region. another major addition was the Atom Explorer, which provides information about individual atoms, including their chemical elements, bonds and roles, within a selected part. a challenge i faced was building a search system, where typing a specific residue/atom actually finds it for you in the Mol*, takes you to it and clearly highlights it for you. i devloped a 3-level autocomplete system that suggests amino acids, real residue positions and actual atom names (for example: ARG 158 CA) extracted from the loaded structure. Along the way, several bugs were encountered, like atom extraction and resetting selections. I also added a Reset View button and improved how the panel responds to selections. Foldcheck now allows users to explore p53 from the whole-protein level down to individual atoms while connecting the 3d structure to scientific explanations and confidence data. Next step, PAE!
Devlog 7: Since Devlog 6, I’ve made a lot of progress in expanding FoldCheck’s biological information and making the Region Explorer much more detailed. I started by integrating more data from UniProt, allowing users to explore annotated functional regions of a protein, including their names, residue positions, lengths and biological roles. One major addition was the ability to investigate protein interactions, where FoldCheck retrieves information about interaction partners, their functions, UniProt accessions and available experimental evidence. I also added supporting research references, including PubMed publications, and developed a system that connects biological findings to the protein being explored. A challenge I faced was making this information work dynamically across different proteins, rather than hardcoding information specifically for p53. I also had to fix several issues involving matching interaction partners, retrieving the correct biological information and preventing empty or repetitive sections from appearing. FoldCheck can now provide much more detailed explanations of functional regions and protein interactions, helping users understand not just the 3D structure, but also the biological evidence behind it. Next, I’m working on a dedicated PAE analysis page to help users investigate uncertainty in the relative positions of different parts of a protein! I know I said PAE last time but I got distracted.. MB!
FINALLY!! FoldCheck is ready to ship!!! After so much time coding, fixing errors, testing stuff and adding new features, I’ve finally got FoldCheck to a stage where im happy with it! Since my last devlog, I’ve added a bunch of new things, including interactive 3D protein models, AlphaFold confidence analysis, PAE heatmaps, amino acid and atom information, functional regions and even comparisons with experimental protein structures! One of the hardest parts was definitely getting the 3D models to work properly, especially linking the scientific data with the actual protein structures. There were so many errors along the way, and sometimes fixing one thing would break another 😭 But I’ve learnt so much about proteins, AlphaFold, coding and how scientific software actually works! I also used AI throughout development to help with coding, debugging and understanding concepts I wasn’t familiar with, which was really useful! I did have plans for mutation analysis too, but I’ve decided to leave that for a future personal project rather than rushing it into FoldCheck. The whole point of FoldCheck was to show that just because a predicted protein structure looks accurate, it doesnt mean we should automatically trust every part of it! And now I’ve finally got a working tool that lets people actually investigate that!! I’ve also successfully uploaded the entire project to GitHub, which took a surprising amount of troubleshooting itself 😭 Anyways, im really happy with how far this project has come, and I can’t believe im finally saying this, but FOLDCHECK IS READY TO SHIP!!! 🧬🚀
Ships:
I made FoldCheck!! Its an interactive website that lets you explore and analyse AlphaFold protein predictions, including 3D protein structures, confidence scores, PAE heatmaps, functional regions and comparisons with experimental structures! The most challenging part was definitely getting everything to work together, especially the 3D models and connecting them to the actual scientific data. There were SO many bugs along the way, and sometimes fixing one error would cause another 😭 Im especially proud of the interactive 3D viewer and the ability to compare predicted structures with experimental ones! I’ve also learnt so much about protein biology and coding throughout this project. If you’re testing FoldCheck, try searching for different proteins, clicking on individual amino acids, exploring the confidence scores and PAE heatmaps, and using the experimental comparison feature! Some proteins might not have experimental structures available, so try a few different ones! After 28 hours of coding, im FINALLY shipping FoldCheck!!!...
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My awesome macropad! by @ava_b_r | Stardance
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Soal a Q and A Bot by @dilesh596 | Stardance
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[{"post_id": 80053, "ts": "202 [{"post_id": 80053, "ts": "2026-10-16T02:39:48Z", "hours": 1.9114, "text": "Hello folks we meet again and now I am building the app called Farmer’s Crop Advisor and iit is so cool. It can work without any internet and can give any advice to farmers as long as it is related to crops and farming. Ok so see you in the next devlog where we will discuss about this project. Till then fair well."}, {"post_id": 77634, "ts": "2026-10-07T18:05:52Z", "hours": 0.7486, "text": "Ok so this is it for this project we will see in the next project either a farmer AI or a website"}, {"post_id": 77480, "ts": "2026-10-07T05:25:15Z", "hours": 2.6489, "text": "Devlog #3: Mission Accomplished! 🚀 What I Built, What I Gained, and What’s NextHi everyone! Dilesh Zingare here, wrapping up my final devlog for the Hack Club Stardance hackathon! 🌟If you caught my last two updates, you know I set out to build an affordable, hybrid online/offline AI assistant to help students who face high internet costs or limited data plans. Powered by the lightweight gemma3:1b model running right on the user’s local machine, it provides instant support even with zero internet connectivity, while seamlessly pulling live web data whenever a connection is available.I am thrilled to announce that the project is officially built, tested, and submitted to the Stardance Arcade! 🎉What I Gained from This JourneyBuilding this hybrid system wasn’t just about writing code; it was a massive learning experience that helped me grow as an aspiring Developer Advocate:• Edge Computing Skills: Figuring out how to optimize and run a model as compact as gemma3:1b efficiently on everyday consumer hardware.• Smart Routing Logic: Designing a seamless fallback system that instantly switches between local inference and live API scraping depending on the user’s network status.• User-Centric Design: Learning how to build developer tools with empathy, ensuring that students with limited resources aren’t left behind in the AI revolution.• The Hack Club Spirit: Earning awesome arcade tickets while building something that genuinely solves a real-world problem for my peers.What’s Next?Just because the hackathon is ending doesn’t mean the project is! I plan to keep optimizing the local response times and look into adding specialized fine-tuned models for specific student subjects like math and coding.Thank you so much to the Hack Club community for the incredible support, the inspiration, and the motivation to push my boundaries.Come on, ask me anything—online or offline, this AI is ready to help!"}, {"post_id": 77014, "ts": "2026-10-05T11:30:50Z", "hours": 2.485, "text": "Hello and welcome to my 2nd devlog! 🚀 Previously we saw why I built this AI-Assistant, and now we are going to see how it works and what it needs.What it needs: Absolutely nothing! A working system is enough for it to work. No internet? No problem! Come on, ask me anything.How it works: Exactly like other AI-Assistants. If it has no internet, you will get information that is stored locally in the gemma3:1b model. If you have internet, no problem—it will pull live information for you!Wait for the next devlog where we will see what I gained after submitting this. This is my 2nd devlog!"}, {"post_id": 76692, "ts": "2026-10-04T11:01:52Z", "hours": 8.5831, "text": "🚀 Devlog #1: Building an Affordable, Hybrid Online/Offline AI for StudentsHi everyone! I am Dilesh Zingare, an aspiring Developer Advocate from Pune, India.I am building an AI assistant that can work both online and offline. I noticed that many people, especially students, want to use AI for their studies but cannot afford expensive internet recharges or data plans. On top of that, many major AI brands are now limiting their free tiers. This project is dedicated to everyone who cannot afford to spend large amounts of money just to access AI.As interesting as it sounds, it will work exactly as envisioned! Support me, wish me luck, and stay tuned for my 2nd devlog, where I will explain exactly how it works under the hood and what it can do."}]...
|
Title: Soal a Q and A Bot by @dilesh596 | Stardanc Title: Soal a Q and A Bot by @dilesh596 | Stardance
Devlogs:
🚀 Devlog #1: Building an Affordable, Hybrid Online/Offline AI for StudentsHi everyone! I am Dilesh Zingare, an aspiring Developer Advocate from Pune, India.I am building an AI assistant that can work both online and offline. I noticed that many people, especially students, want to use AI for their studies but cannot afford expensive internet recharges or data plans. On top of that, many major AI brands are now limiting their free tiers. This project is dedicated to everyone who cannot afford to spend large amounts of money just to access AI.As interesting as it sounds, it will work exactly as envisioned! Support me, wish me luck, and stay tuned for my 2nd devlog, where I will explain exactly how it works under the hood and what it can do.
Hello and welcome to my 2nd devlog! 🚀 Previously we saw why I built this AI-Assistant, and now we are going to see how it works and what it needs.What it needs: Absolutely nothing! A working system is enough for it to work. No internet? No problem! Come on, ask me anything.How it works: Exactly like other AI-Assistants. If it has no internet, you will get information that is stored locally in the gemma3:1b model. If you have internet, no problem—it will pull live information for you!Wait for the next devlog where we will see what I gained after submitting this. This is my 2nd devlog!
Devlog #3: Mission Accomplished! 🚀 What I Built, What I Gained, and What’s NextHi everyone! Dilesh Zingare here, wrapping up my final devlog for the Hack Club Stardance hackathon! 🌟If you caught my last two updates, you know I set out to build an affordable, hybrid online/offline AI assistant to help students who face high internet costs or limited data plans. Powered by the lightweight gemma3:1b model running right on the user’s local machine, it provides instant support even with zero internet connectivity, while seamlessly pulling live web data whenever a connection is available.I am thrilled to announce that the project is officially built, tested, and submitted to the Stardance Arcade! 🎉What I Gained from This JourneyBuilding this hybrid system wasn’t just about writing code; it was a massive learning experience that helped me grow as an aspiring Developer Advocate:• Edge Computing Skills: Figuring out how to optimize and run a model as compact as gemma3:1b efficiently on everyday consumer hardware.• Smart Routing Logic: Designing a seamless fallback system that instantly switches between local inference and live API scraping depending on the user’s network status.• User-Centric Design: Learning how to build developer tools with empathy, ensuring that students with limited resources aren’t left behind in the AI revolution.• The Hack Club Spirit: Earning awesome arcade tickets while building something that genuinely solves a real-world problem for my peers.What’s Next?Just because the hackathon is ending doesn’t mean the project is! I plan to keep optimizing the local response times and look into adding specialized fine-tuned models for specific student subjects like math and coding.Thank you so much to the Hack Club community for the incredible support, the inspiration, and the motivation to push my boundaries.Come on, ask me anything—online or offline, this AI is ready to help!
Ok so this is it for this project we will see in the next project either a farmer AI or a website
Hello folks we meet again and now I am building the app called Farmer’s Crop Advisor and iit is so cool. It can work without any internet and can give any advice to farmers as long as it is related to crops and farming. Ok so see you in the next devlog where we will discuss about this project. Till then fair well.
Ships:
I make an AI-Assistant which can work online as well as offline. The challenging part was that I wanted to make it more powerful that it is like I wanted to use the model like gemma4:e2b but my laptop has a RAM problem and so that was the problem. I saw many students struggling to use the AI because of their expensive subscriptions so this project is for my fellow students. I am also a student so I can understand the problems that student face. You need nothing to use this app it only use some ram of your device. Then it is good to go....
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67242
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My awesome macropad! by @tanish420 | Stardance
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tanish420
|
0
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0.0
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0
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[]
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[]
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Title: My awesome macropad! by @tanish420 | Starda Title: My awesome macropad! by @tanish420 | Stardance...
|
1793728543.4927275
|
1794333343.4927275
|
|
67241
|
My awesome macropad! by @AndyP | Stardance
|
AndyP
|
0
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0.0
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0
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[]
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[]
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Title: My awesome macropad! by @AndyP | Stardance
|
1793728537.6522775
|
1794333337.6522775
|