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70881
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Untitled project by @peanut | Stardance
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peanut
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0
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0.0
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0
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[]
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Title: Untitled project by @peanut | Stardance
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1792637242.4050188
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1793242042.4050188
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70880
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My very own WebOS by @kartavyagore0 | Stardance
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kartavyagore0
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0
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0.0
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0
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Title: My very own WebOS by @kartavyagore0 | Stard Title: My very own WebOS by @kartavyagore0 | Stardance...
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1792637240.9308574
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1793242040.9308574
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AeroSense by @Parikshit________________verma | Sta AeroSense by @Parikshit________________verma | Stardance...
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Parikshit________________verma
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Title: AeroSense by @Parikshit________________verm Title: AeroSense by @Parikshit________________verma | Stardance...
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1792634117.5228338
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55801
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WEBOS1-Project by @caesium | Stardance
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caesium
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0
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0.0
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0
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Title: WEBOS1-Project by @caesium | Stardance
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1792634116.6628656
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1793238916.6628656
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55800
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My awesome macropad! by @gradisniknejc | Stardance
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gradisniknejc
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0
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0.0
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Title: My awesome macropad! by @gradisniknejc | St Title: My awesome macropad! by @gradisniknejc | Stardance...
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1792634115.76379
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Untitled project by @Sheryar | Stardance
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Sheryar
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Title: Untitled project by @Sheryar | Stardance
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1792634114.93944
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11115
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Self Balancing Robot by @arjpeg | Stardance
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arjpeg
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0
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0.0
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0
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Title: Self Balancing Robot by @arjpeg | Stardance
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1792634114.1066394
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34329
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Untitled project by @amsa | Stardance
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amsa
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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: Untitled project by @amsa | Stardance
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1792634113.2914808
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7792
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Undertakes Chess Engine by @shreeyans_vichare | St Undertakes Chess Engine by @shreeyans_vichare | Stardance...
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shreeyans_vichare
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0
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0.52
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0
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[]
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[{"post_id": 7298, "ts": "2026 [{"post_id": 7298, "ts": "2026-06-12T05:11:05Z", "hours": 0.5175, "text": "Finally got a basic chess board representation using Bitboards. Understanding bitboards has been challenging and it’s a little difficult. No matter what it’s kinda intuitive so I hope I can implement piece movement soon!! Wish me luck because this seems insanely difficult to implement. Thank you for your time!!"}]...
|
Title: Undertakes Chess Engine by @shreeyans_vicha Title: Undertakes Chess Engine by @shreeyans_vichare | Stardance
Devlogs:
Finally got a basic chess board representation using Bitboards. Understanding bitboards has been challenging and it’s a little difficult. No matter what it’s kinda intuitive so I hope I can implement piece movement soon!! Wish me luck because this seems insanely difficult to implement. Thank you for your time!!...
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1792634112.4288645
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1793238912.4288645
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252
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Momentum by @glitch_purge | Stardance
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glitch_purge
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0
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3.64
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0
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[]
|
[{"post_id": 22888, "ts": "202 [{"post_id": 22888, "ts": "2026-07-05T15:01:40Z", "hours": 1.0428, "text": "Momentum Devlog 4 - Upcoming Assignments, and bug fixes So I’ve started work on the upcoming assignments part of the dashboard and it looks good. The assignments I’ve put are just random stuff I made up and I spent quite a while trying to get good sizing for mobile and it went well to say the least. As before, nothing is dynamic (aka work with real values and the user) but I think I will start work on that after I finish the calendar on the side that I want to add & after I finish the Assignments tab. I like how its coming out so far and I’ve reduced the AI mockup usage a lot so the mockup and my website are wayyy different now!"}, {"post_id": 15177, "ts": "2026-06-24T17:36:24Z", "hours": 1.3464, "text": "Momentum Devlog 3 - Topbar, hamburger sidebar, 4/4 cards I added the topbar in detail like the hello, date and time text and the quick utilities buttons + user logo. Started on the cards info system so 4 cards that give you info on your current stats. Finsihed all 4. There is a hamburger menu when u go on smaller devices but I did that using Claude. Hear me out - I’m lazy to do that and I just didn’t want to break my whole system for that T-T. I will add quotes next devlog, and soon enough will start linking everything into a dynamic website using JS!"}, {"post_id": 14226, "ts": "2026-06-23T07:32:30Z", "hours": 0.5975, "text": "Momentum Devlog 2 - Built this sidebar for the app. Changed the style to be a bit more modern and sleek. Used AI to generate a mockup and building using that. The mockup messed up a bit so some features are not where I want them but that gives me a lot of creativity to add my own stuff. Idea was mine, mockup was chatgpt’s and I’m only using the mockup for dashboard. Rest all pages will be made using that."}, {"post_id": 13775, "ts": "2026-06-22T16:04:40Z", "hours": 0.6492, "text": "Devlog 01 - Sidebar and topbar Worked on the sidebar and topbar after spending 2+ hours designing a mockup in figma. Haven’t done HTML & CSS in a long time so this was a bit of a struggle but relatively easy. Building every component static rn, will use only JS (normal JS) to build the proper website with information. Tryna store every data on cookies"}]...
|
Title: Momentum by @glitch_purge | Stardance
Devl Title: Momentum by @glitch_purge | Stardance
Devlogs:
Devlog 01 - Sidebar and topbar Worked on the sidebar and topbar after spending 2+ hours designing a mockup in figma. Haven’t done HTML & CSS in a long time so this was a bit of a struggle but relatively easy. Building every component static rn, will use only JS (normal JS) to build the proper website with information. Tryna store every data on cookies
Momentum Devlog 2 - Built this sidebar for the app. Changed the style to be a bit more modern and sleek. Used AI to generate a mockup and building using that. The mockup messed up a bit so some features are not where I want them but that gives me a lot of creativity to add my own stuff. Idea was mine, mockup was chatgpt’s and I’m only using the mockup for dashboard. Rest all pages will be made using that.
Momentum Devlog 3 - Topbar, hamburger sidebar, 4/4 cards I added the topbar in detail like the hello, date and time text and the quick utilities buttons + user logo. Started on the cards info system so 4 cards that give you info on your current stats. Finsihed all 4. There is a hamburger menu when u go on smaller devices but I did that using Claude. Hear me out - I’m lazy to do that and I just didn’t want to break my whole system for that T-T. I will add quotes next devlog, and soon enough will start linking everything into a dynamic website using JS!
Momentum Devlog 4 - Upcoming Assignments, and bug fixes So I’ve started work on the upcoming assignments part of the dashboard and it looks good. The assignments I’ve put are just random stuff I made up and I spent quite a while trying to get good sizing for mobile and it went well to say the least. As before, nothing is dynamic (aka work with real values and the user) but I think I will start work on that after I finish the calendar on the side that I want to add & after I finish the Assignments tab. I like how its coming out so far and I’ve reduced the AI mockup usage a lot so the mockup and my website are wayyy different now!...
|
1792634111.5515468
|
1793238911.5515468
|
|
3354
|
Untitled by @shaurwadhawan | Stardance
|
shaurwadhawan
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Untitled by @shaurwadhawan | Stardance
|
1792634110.708118
|
1793238910.708118
|
|
15452
|
VeritasAI by @rianchad | Stardance
|
rianchad
|
0
|
125.09
|
0
|
[]
|
[{"post_id": 12443, "ts": "202 [{"post_id": 12443, "ts": "2026-06-20T09:35:49Z", "hours": 15.3708, "text": "i was on vacaiton so i forgot to write"}, {"post_id": 10921, "ts": "2026-06-17T21:57:35Z", "hours": 7.4081, "text": "wll do later"}, {"post_id": 10169, "ts": "2026-06-16T19:41:43Z", "hours": 7.7919, "text": "Will update later"}, {"post_id": 9834, "ts": "2026-06-16T09:03:20Z", "hours": 13.9131, "text": "long day will update later"}, {"post_id": 9332, "ts": "2026-06-15T17:31:25Z", "hours": 7.2622, "text": "devlog will update later"}, {"post_id": 9127, "ts": "2026-06-15T08:33:38Z", "hours": 4.0861, "text": "devlog will update later"}, {"post_id": 8973, "ts": "2026-06-14T22:45:55Z", "hours": 7.7925, "text": "Devlog will update later"}, {"post_id": 8722, "ts": "2026-06-14T14:19:55Z", "hours": 7.8492, "text": "devpost will update later"}, {"post_id": 7977, "ts": "2026-06-13T09:32:44Z", "hours": 8.2808, "text": "did some work"}, {"post_id": 7770, "ts": "2026-06-12T23:58:26Z", "hours": 6.6164, "text": "refactoring some logic"}, {"post_id": 7482, "ts": "2026-06-12T14:16:38Z", "hours": 1.225, "text": "I did a cleanup session today: moved hardcoded API keys from config.js into .env , added a startup check that exits immediately with a clear message if any required key is missing, and split a 650-line index.js into pipeline.js , cli.js , and utils.js . The tool runs cleanly on my machine and I have been using it on articles I read this past week, but it requires setting up two API keys to run so nobody else can actually use it yet, and figuring out distribution is probably the next real question."}, {"post_id": 7455, "ts": "2026-06-12T12:54:32Z", "hours": 7.1053, "text": "This session was supposed to take two hours and took seven because I assumed fetching and parsing a news article from a URL would be straightforward. It is not: axios plus cheerio works fine for AP and Reuters, NYT and WaPo render their bodies client-side so the raw HTML comes back nearly empty, Puppeteer solved that but added 5 seconds of headless Chrome startup time to every run, and @mozilla/readability worked better across most sites but choked on paywalls. I ended up with a three-layer fallback that tries readability first, then the longest <article> tag, then the largest div by text length, which covers about 70% of sites. The session ended with a clean formatted terminal report using chalk for color-coded confidence labels, which was the first time the tool looked like something a person would actually use."}, {"post_id": 7308, "ts": "2026-06-12T05:30:45Z", "hours": 3.5261, "text": "I rewrote the whole pipeline in Node.js and parallelized all the agents because the Python sequential version was timing a 7-claim article at 68 seconds, which is not usable. The rewrite took about 90 minutes and the rest of the session was debugging differences between the Python and Node versions, mostly around how I had structured the retry logic. Running 14 concurrent API requests at once got me rate-limited immediately, so I added a concurrency queue capped at 4 simultaneous calls, and the same article that took 68 seconds dropped to 14 seconds."}, {"post_id": 7185, "ts": "2026-06-12T00:04:43Z", "hours": 0.9936, "text": "Two things kept crashing longer test runs so I fixed them both today. Claude was returning malformed JSON about one in fifteen runs despite explicit instructions, either wrapping output in backticks or adding a trailing comma, so I added a cleanup step before JSON.parse and a retry that sends the raw response back with “this was not valid JSON, return only the array with no other text.” The second issue was unverifiable claims burning three full search iterations and returning nothing, so I added a classification step upfront where subjective claims skip the loop entirely and return a subjective_claim flag instead."}, {"post_id": 7012, "ts": "2026-06-11T19:22:43Z", "hours": 3.5992, "text": "I added the divergence layer today, which surfaces how outlets with different political leans frame the same underlying fact rather than just whether the fact is accurate. I first tried scraping lean ratings from AllSides at runtime but scrapped it after 45 minutes because it was fragile, probably against their ToS, and too slow for a per-request lookup. I replaced it with a hardcoded lookup table sourced from Ad Fontes Media data covering about 40 major outlets, where anything not in the table returns “Unknown” rather than a guess. Testing it on a border crossings story came back with CNN describing the encounter numbers as a humanitarian crisis, Fox describing the same numbers as a Biden policy failure, and the DHS primary source showing the raw figure all three were citing."}, {"post_id": 6863, "ts": "2026-06-11T14:49:32Z", "hours": 15.2831, "text": "I started with SerpAPI for web search and spent the first two hours realizing every result it returned was months old because of aggressive free-tier caching, then switched to Brave Search API and got current results immediately. My first verification approach was a single prompt passing the claim and search results to Claude at once, but the outputs were shallow and the first search query was usually wrong anyway, so I built an iterative loop where Claude picks a query, I run the search, and Claude decides whether to go deeper or return a result. The loop ran forever in early testing until I added a hard stopping rule to the prompt: “If you have at least 2 independent sources that confirm or deny the claim, stop searching and return your assessment now.” By the end of the day, the pipeline surfaced CNN and Fox both citing the same BLS statistic with completely different framings alongside the actual BLS.gov primary source, which was exactly the output I had been trying to build toward."}, {"post_id": 6434, "ts": "2026-06-10T20:24:08Z", "hours": 1.1289, "text": "I caught a bad bug where the extractor was hallucinating numbers: I ran the same AP unemployment article three times and the reported rate came out as 4.2%, 4.1%, and 3.9% across the three runs when the article clearly says 4.2%. The model was filling in from training data instead of reading the text in front of it, which is a subtle failure mode because the numbers look plausible enough that you would never notice without explicitly checking. The fix was adding a verbatim extraction instruction to the system prompt and setting temperature to 0."}, {"post_id": 6305, "ts": "2026-06-10T16:37:57Z", "hours": 5.8567, "text": "I started this after my dad and I spent 45 minutes arguing over an immigration article where we were both citing different sources reporting the same statistic at different numbers, and neither of us could figure out who was right because we couldn’t agree on which source to trust. My first instinct was a binary fact-checker that returns TRUE or FALSE, but the first time I prompted Claude that way I got confident verdicts with no sources and realized immediately that a confidently wrong answer with no citations is worse than no answer at all. I tried GPT-4 for claim extraction and kept getting paragraph-length analysis instead of a JSON array, then switched to Claude and got clean structured output on the first attempt once I tightened the prompt. Extract factual claims from the article below. Return ONLY a JSON array of strings. No explanation before the array. No explanation after. No markdown fences. I finished the session with a Python script that takes pasted article text and returns a JSON array of 5-8 discrete factual claims, all traceable to specific sentences in the article."}]...
|
Title: VeritasAI by @rianchad | Stardance
Devlogs Title: VeritasAI by @rianchad | Stardance
Devlogs:
I started this after my dad and I spent 45 minutes arguing over an immigration article where we were both citing different sources reporting the same statistic at different numbers, and neither of us could figure out who was right because we couldn’t agree on which source to trust. My first instinct was a binary fact-checker that returns TRUE or FALSE, but the first time I prompted Claude that way I got confident verdicts with no sources and realized immediately that a confidently wrong answer with no citations is worse than no answer at all. I tried GPT-4 for claim extraction and kept getting paragraph-length analysis instead of a JSON array, then switched to Claude and got clean structured output on the first attempt once I tightened the prompt. Extract factual claims from the article below. Return ONLY a JSON array of strings. No explanation before the array. No explanation after. No markdown fences. I finished the session with a Python script that takes pasted article text and returns a JSON array of 5-8 discrete factual claims, all traceable to specific sentences in the article.
I caught a bad bug where the extractor was hallucinating numbers: I ran the same AP unemployment article three times and the reported rate came out as 4.2%, 4.1%, and 3.9% across the three runs when the article clearly says 4.2%. The model was filling in from training data instead of reading the text in front of it, which is a subtle failure mode because the numbers look plausible enough that you would never notice without explicitly checking. The fix was adding a verbatim extraction instruction to the system prompt and setting temperature to 0.
I started with SerpAPI for web search and spent the first two hours realizing every result it returned was months old because of aggressive free-tier caching, then switched to Brave Search API and got current results immediately. My first verification approach was a single prompt passing the claim and search results to Claude at once, but the outputs were shallow and the first search query was usually wrong anyway, so I built an iterative loop where Claude picks a query, I run the search, and Claude decides whether to go deeper or return a result. The loop ran forever in early testing until I added a hard stopping rule to the prompt: “If you have at least 2 independent sources that confirm or deny the claim, stop searching and return your assessment now.” By the end of the day, the pipeline surfaced CNN and Fox both citing the same BLS statistic with completely different framings alongside the actual BLS.gov primary source, which was exactly the output I had been trying to build toward.
I added the divergence layer today, which surfaces how outlets with different political leans frame the same underlying fact rather than just whether the fact is accurate. I first tried scraping lean ratings from AllSides at runtime but scrapped it after 45 minutes because it was fragile, probably against their ToS, and too slow for a per-request lookup. I replaced it with a hardcoded lookup table sourced from Ad Fontes Media data covering about 40 major outlets, where anything not in the table returns “Unknown” rather than a guess. Testing it on a border crossings story came back with CNN describing the encounter numbers as a humanitarian crisis, Fox describing the same numbers as a Biden policy failure, and the DHS primary source showing the raw figure all three were citing.
Two things kept crashing longer test runs so I fixed them both today. Claude was returning malformed JSON about one in fifteen runs despite explicit instructions, either wrapping output in backticks or adding a trailing comma, so I added a cleanup step before JSON.parse and a retry that sends the raw response back with “this was not valid JSON, return only the array with no other text.” The second issue was unverifiable claims burning three full search iterations and returning nothing, so I added a classification step upfront where subjective claims skip the loop entirely and return a subjective_claim flag instead.
I rewrote the whole pipeline in Node.js and parallelized all the agents because the Python sequential version was timing a 7-claim article at 68 seconds, which is not usable. The rewrite took about 90 minutes and the rest of the session was debugging differences between the Python and Node versions, mostly around how I had structured the retry logic. Running 14 concurrent API requests at once got me rate-limited immediately, so I added a concurrency queue capped at 4 simultaneous calls, and the same article that took 68 seconds dropped to 14 seconds.
This session was supposed to take two hours and took seven because I assumed fetching and parsing a news article from a URL would be straightforward. It is not: axios plus cheerio works fine for AP and Reuters, NYT and WaPo render their bodies client-side so the raw HTML comes back nearly empty, Puppeteer solved that but added 5 seconds of headless Chrome startup time to every run, and @mozilla/readability worked better across most sites but choked on paywalls. I ended up with a three-layer fallback that tries readability first, then the longest <article> tag, then the largest div by text length, which covers about 70% of sites. The session ended with a clean formatted terminal report using chalk for color-coded confidence labels, which was the first time the tool looked like something a person would actually use.
I did a cleanup session today: moved hardcoded API keys from config.js into .env , added a startup check that exits immediately with a clear message if any required key is missing, and split a 650-line index.js into pipeline.js , cli.js , and utils.js . The tool runs cleanly on my machine and I have been using it on articles I read this past week, but it requires setting up two API keys to run so nobody else can actually use it yet, and figuring out distribution is probably the next real question.
refactoring some logic
did some work
devpost will update later
Devlog will update later
devlog will update later
devlog will update later
long day will update later
Will update later
wll do later
i was on vacaiton so i forgot to write...
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1792634109.5329611
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1793238909.5329611
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30980
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Some futuristic stuff by @Prem_rajput | Stardance
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Prem_rajput
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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: Some futuristic stuff by @Prem_rajput | Sta Title: Some futuristic stuff by @Prem_rajput | Stardance...
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1792634108.7087646
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1793238908.7087646
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5548
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FileViewer PRO by @0997udan | Stardance
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0997udan
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0
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0.0
|
0
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[]
|
[]
|
Title: FileViewer PRO by @0997udan | Stardance
|
1792634107.8436608
|
1793238907.8436608
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|
8484
|
My awesome macropad! by @krishnasreenivas01 | Star My awesome macropad! by @krishnasreenivas01 | Stardance...
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krishnasreenivas01
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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 @krishnasreenivas01 Title: My awesome macropad! by @krishnasreenivas01 | Stardance...
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1792634106.9853077
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1793238906.9853077
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40369
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My own site! by @Boibla | Stardance
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Boibla
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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 @Boibla | Stardance
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1792634106.1315527
|
1793238906.1315527
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18124
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My awesome macropad! by @daidokoroxd | Stardance
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daidokoroxd
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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 @daidokoroxd | Star Title: My awesome macropad! by @daidokoroxd | Stardance...
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1792634105.2753198
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1793238905.2753198
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29630
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Medigen by @idk | Stardance
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idk
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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: Medigen by @idk | Stardance
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1792634104.4500718
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1793238904.4500718
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2765
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Grid Traversal Visual by @Yazat | Stardance
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Yazat
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0
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3.09
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0
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[]
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[{"post_id": 2954, "ts": "2026 [{"post_id": 2954, "ts": "2026-06-05T21:11:50Z", "hours": 0.6397, "text": "Global variables annoy me"}, {"post_id": 2585, "ts": "2026-06-05T05:29:39Z", "hours": 0.9306, "text": "Today was a lot of debugging and more framework - almost all of the code I wrote in funcs.py was bugged in some way. My linearize and delinearize methods both were switching around what x and y mean, since I was thinking mathematically where x is horizontal and y is vertical, but since I was taking an x index before a y index, they should’ve been switched. After fixing those bugs and some more bugs in my adjacency map generator, I got those working, and laid out the framework for the first searching algorithm I’ll actually implement - Depth First Search. The attached screenshot shows the adjacency map with all bugs fixed."}, {"post_id": 682, "ts": "2026-06-02T07:33:50Z", "hours": 1.5153, "text": "Today I created the framework of my project - I started off with making two “maps” (the second one looks like the underscores and periods you see on the left), and coded something that randomly selects a map and generates a more visual image like the one seen. I also got started on a funcs.py file that’ll have a bunch of essential functions, such as taking a 2D array that represents a grid and making it an adjacency map (which’ll be useful for the first search algorithm I’m going to implement, depth first search)."}]...
|
Title: Grid Traversal Visual by @Yazat | Stardance Title: Grid Traversal Visual by @Yazat | Stardance
Devlogs:
Today I created the framework of my project - I started off with making two “maps” (the second one looks like the underscores and periods you see on the left), and coded something that randomly selects a map and generates a more visual image like the one seen. I also got started on a funcs.py file that’ll have a bunch of essential functions, such as taking a 2D array that represents a grid and making it an adjacency map (which’ll be useful for the first search algorithm I’m going to implement, depth first search).
Today was a lot of debugging and more framework - almost all of the code I wrote in funcs.py was bugged in some way. My linearize and delinearize methods both were switching around what x and y mean, since I was thinking mathematically where x is horizontal and y is vertical, but since I was taking an x index before a y index, they should’ve been switched. After fixing those bugs and some more bugs in my adjacency map generator, I got those working, and laid out the framework for the first searching algorithm I’ll actually implement - Depth First Search. The attached screenshot shows the adjacency map with all bugs fixed.
Global variables annoy me...
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1792634103.610003
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1793238903.610003
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26090
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My first slack bot! by @JP_15_Astronomy_Explorer | My first slack bot! by @JP_15_Astronomy_Explorer | Stardance...
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JP_15_Astronomy_Explorer
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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 @JP_15_Astronomy_Exp Title: My first slack bot! by @JP_15_Astronomy_Explorer | Stardance...
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1792634102.7633505
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1793238902.7633505
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40465
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My own site! by @nafofi1992 | Stardance
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nafofi1992
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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 @nafofi1992 | Stardance
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1792634101.9353988
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1793238901.9353988
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33471
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MONK Rocket by @SamayG | Stardance
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SamayG
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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: MONK Rocket by @SamayG | Stardance
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1792634101.0925798
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1793238901.0925798
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9053
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Untitled project by @Thesciencegeek15 | Stardance
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Thesciencegeek15
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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: Untitled project by @Thesciencegeek15 | Sta Title: Untitled project by @Thesciencegeek15 | Stardance...
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1792634100.2666655
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1793238900.2666655
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15761
|
GlucoBit by @jdharcourt | Stardance
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jdharcourt
|
0
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0.0
|
0
|
[]
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[]
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Title: GlucoBit by @jdharcourt | Stardance
|
1792634099.4538183
|
1793238899.4538183
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28411
|
Rogue Planet - Steam Sci-Fi RPG by @BrielleT | Sta Rogue Planet - Steam Sci-Fi RPG by @BrielleT | Stardance...
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BrielleT
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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: Rogue Planet - Steam Sci-Fi RPG by @Brielle Title: Rogue Planet - Steam Sci-Fi RPG by @BrielleT | Stardance...
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1792634098.6277795
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1793238898.6277795
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21685
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My awesome macropad! by @Indus | Stardance
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Indus
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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 @Indus | Stardance
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1792634097.7899275
|
1793238897.7899275
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22588
|
My awesome macropad! by @50 | Stardance
|
50
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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 @50 | Stardance
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1792634096.947437
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1793238896.947437
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38930
|
Winter by @althotdev | Stardance
|
althotdev
|
0
|
6.34
|
0
|
[]
|
[{"post_id": 43651, "ts": "202 [{"post_id": 43651, "ts": "2026-08-09T01:17:42Z", "hours": 2.4644, "text": "Winter Devlog 2 : Runtime library linking, filesystem and inputs Hey Stardance! Life has been getting in the way lately, but I’m still determined to continue work on the engine and recently, I’ve added a way to script the game through DLL files! It now loads the library at runtime without even needing a .lib file. I’ve also done work on a filesystem driver and I’ve improved the current SDL input driver. If you want to learn more about the specifics of the engine’s scripting, I’ve made a very detailed blogpost about it, you can find it here . Beware, it’s over 3000 words (and 19k characters) long."}, {"post_id": 34275, "ts": "2026-07-24T20:51:53Z", "hours": 3.8753, "text": "Winter Devlog 1 : From basic structure to mesh loading Hey Stardance! I am currently working on a game engine that uses “driver” classes to deal with cross-platform differences in graphics, audio, input, et cetera. I decided to work on such a project because I started to dislike the tech stack I was using for a plethora of reasons. This is the first devlog, so there isn’t much to show, but the engine already has a basic OpenGL renderer that can load a model and display it. Side note: It’s OpenGL-based and not Vulkan-based because I had a fight with Vulkan where it would crash the game when trying to grab the properties of the GPU and it won. There is a much more detailed (1.4k words) blog article here if you want all of the specifics about how the engine currently works, but for now, here are a few screenshots of both the renderer and the driver system."}]...
|
Title: Winter by @althotdev | Stardance
Devlogs:
Title: Winter by @althotdev | Stardance
Devlogs:
Winter Devlog 1 : From basic structure to mesh loading Hey Stardance! I am currently working on a game engine that uses “driver” classes to deal with cross-platform differences in graphics, audio, input, et cetera. I decided to work on such a project because I started to dislike the tech stack I was using for a plethora of reasons. This is the first devlog, so there isn’t much to show, but the engine already has a basic OpenGL renderer that can load a model and display it. Side note: It’s OpenGL-based and not Vulkan-based because I had a fight with Vulkan where it would crash the game when trying to grab the properties of the GPU and it won. There is a much more detailed (1.4k words) blog article here if you want all of the specifics about how the engine currently works, but for now, here are a few screenshots of both the renderer and the driver system.
Winter Devlog 2 : Runtime library linking, filesystem and inputs Hey Stardance! Life has been getting in the way lately, but I’m still determined to continue work on the engine and recently, I’ve added a way to script the game through DLL files! It now loads the library at runtime without even needing a .lib file. I’ve also done work on a filesystem driver and I’ve improved the current SDL input driver. If you want to learn more about the specifics of the engine’s scripting, I’ve made a very detailed blogpost about it, you can find it here . Beware, it’s over 3000 words (and 19k characters) long....
|
1792634096.076125
|
1793238896.076125
|
|
9333
|
Perseverance by @Rishabh_mewada | Stardance
|
Rishabh_mewada
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Perseverance by @Rishabh_mewada | Stardance
|
1792634095.236919
|
1793238895.236919
|
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32554
|
Untitled by @Reims | Stardance
|
Reims
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Untitled by @Reims | Stardance
|
1792634094.4008803
|
1793238894.4008803
|
|
26556
|
My awesome macropad! by @Pokey | Stardance
|
Pokey
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My awesome macropad! by @Pokey | Stardance
|
1792634093.5531988
|
1793238893.5531988
|
|
38128
|
Untitled project by @bruno_ | Stardance
|
bruno_
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Untitled project by @bruno_ | Stardance
|
1792634089.6851106
|
1793238889.6851106
|
|
3530
|
Ripple by @iamjerryhu | Stardance
|
iamjerryhu
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Ripple by @iamjerryhu | Stardance
|
1792634088.844039
|
1793238888.844039
|
|
7231
|
A website which helps tracing drawings by @Moin | A website which helps tracing drawings by @Moin | Stardance...
|
Moin
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0
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0.0
|
0
|
[]
|
[]
|
Title: A website which helps tracing drawings by @ Title: A website which helps tracing drawings by @Moin | Stardance...
|
1792634088.0026283
|
1793238888.0026283
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7266
|
My awesome macropad! by @grunsteinpeti | Stardance
|
grunsteinpeti
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My awesome macropad! by @grunsteinpeti | St Title: My awesome macropad! by @grunsteinpeti | Stardance...
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1792634087.146875
|
1793238887.146875
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30504
|
Untitled by @Ryguy | Stardance
|
Ryguy
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Untitled by @Ryguy | Stardance
|
1792634086.3302248
|
1793238886.3302248
|
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36149
|
lego sorting machine hardware by @legolucas | Star lego sorting machine hardware by @legolucas | Stardance...
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legolucas
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0
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7.88
|
0
|
[]
|
[{"post_id": 62350, "ts": "202 [{"post_id": 62350, "ts": "2026-09-05T17:52:36Z", "hours": 1.6503, "text": "hi this is devolg 3 hi today i build the small sized basket with a place to put the image of the brick with titel and i also made rails and a system for multiple basket abbove each other i hope you like it look at the images"}, {"post_id": 62031, "ts": "2026-09-05T07:49:12Z", "hours": 4.7503, "text": "hi guys this is devlog 2 today i finished my c channel that singulates the pieces i am done for now i will make the bulk bucket later but it works now hopefully and is lego competible i am now starting on the lift and distribution system"}, {"post_id": 58756, "ts": "2026-08-31T10:03:28Z", "hours": 1.4833, "text": "hi guys this is devlog one i changed my orginal file so it fits 2x8 bricks with a marge and i made sure all the mesure ments of the lego axel fit ments where right and i scaled everything up etc"}]...
|
Title: lego sorting machine hardware by @legolucas Title: lego sorting machine hardware by @legolucas | Stardance
Devlogs:
hi guys this is devlog one i changed my orginal file so it fits 2x8 bricks with a marge and i made sure all the mesure ments of the lego axel fit ments where right and i scaled everything up etc
hi guys this is devlog 2 today i finished my c channel that singulates the pieces i am done for now i will make the bulk bucket later but it works now hopefully and is lego competible i am now starting on the lift and distribution system
hi this is devolg 3 hi today i build the small sized basket with a place to put the image of the brick with titel and i also made rails and a system for multiple basket abbove each other i hope you like it look at the images...
|
1792634085.479451
|
1793238885.479451
|
|
4959
|
My first slack bot! by @Khalidah | Stardance
|
Khalidah
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My first slack bot! by @Khalidah | Stardanc Title: My first slack bot! by @Khalidah | Stardance...
|
1792634084.633665
|
1793238884.633665
|
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1810
|
Wii aim trainer by @jaxj13 | Stardance
|
jaxj13
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Wii aim trainer by @jaxj13 | Stardance
|
1792634083.8068612
|
1793238883.8068612
|
|
2760
|
My awesome macropad! by @Rahul | Stardance
|
Rahul
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My awesome macropad! by @Rahul | Stardance
|
1792634082.9775825
|
1793238882.9775825
|
|
39238
|
My own site! by @sofiah | Stardance
|
sofiah
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My own site! by @sofiah | Stardance
|
1792634082.1110618
|
1793238882.1110618
|
|
21215
|
My awesome macropad! by @SeanL | Stardance
|
SeanL
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My awesome macropad! by @SeanL | Stardance
|
1792634081.2696712
|
1793238881.2696712
|
|
12499
|
a ai adgent that is unger 40gb by @Nik_Dynimo400 | a ai adgent that is unger 40gb by @Nik_Dynimo400 | Stardance...
|
Nik_Dynimo400
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0
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0.0
|
0
|
[]
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[]
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Title: a ai adgent that is unger 40gb by @Nik_Dyni Title: a ai adgent that is unger 40gb by @Nik_Dynimo400 | Stardance...
|
1792634080.4341474
|
1793238880.4341474
|
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30253
|
Mylo - Desktop Buddy by @adamrcm | Stardance
|
adamrcm
|
0
|
0.0
|
0
|
[]
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[]
|
Title: Mylo - Desktop Buddy by @adamrcm | Stardanc Title: Mylo - Desktop Buddy by @adamrcm | Stardance...
|
1792634079.6129026
|
1793238879.6129026
|
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39831
|
HeartiQ App by @Haptic7 | Stardance
|
Haptic7
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: HeartiQ App by @Haptic7 | Stardance
|
1792634078.798795
|
1793238878.798795
|
|
34338
|
WarioWare Game by @Rokkoo80 | Stardance
|
Rokkoo80
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: WarioWare Game by @Rokkoo80 | Stardance
|
1792634077.9637017
|
1793238877.9637017
|
|
35431
|
My own site! by @ashberry1221 | Stardance
|
ashberry1221
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My own site! by @ashberry1221 | Stardance
|
1792634077.0295358
|
1793238877.0295358
|
|
37083
|
My own site! by @waji | Stardance
|
waji
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: My own site! by @waji | Stardance
|
1792634076.07954
|
1793238876.07954
|
|
14536
|
Tortuga MacroPad by @esvin_hernandez35 | Stardance
|
esvin_hernandez35
|
0
|
0.0
|
0
|
[]
|
[]
|
Title: Tortuga MacroPad by @esvin_hernandez35 | St Title: Tortuga MacroPad by @esvin_hernandez35 | Stardance...
|
1792634075.226524
|
1793238875.226524
|
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8046
|
neuralnet_rs by @hxm4tech | Stardance
|
hxm4tech
|
0
|
16.12
|
0
|
[]
|
[{"post_id": 2801, "ts": "2026 [{"post_id": 2801, "ts": "2026-06-05T16:54:55Z", "hours": 16.125, "text": "MNIST digit classification network working with around 97.5% accuracy with 2 hidden layers (128x LeakyRelu + 64x Tanh). Training (10 epochs, batch size=64 on full training set) takes around 8.5s on single core (parallel training is not yet supported) on my Ryzen 7 2700 thanks to allocation avoidance, matrix architecture and Rust optimizations. Saving and loading networks to custom MessagePack .nnrs format is supported as well as export to ONNX, which allows running trained models on production runtimes. The project has been converted to library and unit tests were added - currently everything is successfully passing. TODO: optimizers dropout multithreaded training possibly further optimizations"}]...
|
Title: neuralnet_rs by @hxm4tech | Stardance
Devl Title: neuralnet_rs by @hxm4tech | Stardance
Devlogs:
MNIST digit classification network working with around 97.5% accuracy with 2 hidden layers (128x LeakyRelu + 64x Tanh). Training (10 epochs, batch size=64 on full training set) takes around 8.5s on single core (parallel training is not yet supported) on my Ryzen 7 2700 thanks to allocation avoidance, matrix architecture and Rust optimizations. Saving and loading networks to custom MessagePack .nnrs format is supported as well as export to ONNX, which allows running trained models on production runtimes. The project has been converted to library and unit tests were added - currently everything is successfully passing. TODO: optimizers dropout multithreaded training possibly further optimizations...
|
1792634074.389734
|
1793238874.389734
|