TexSandbox – An AI-assisted LaTeX editor, in the browser

Hacker News

Hi HN, Curious how many folks here use LaTeX in their work or study? I built this as a solo dev to scratch my own itch: https://TexSandbox.com/ Uses a mix of Claude 3.5 Sonnet and gpt-4o/gpt-4o-mini, hosted on Vercel + Modal Labs. I was a PM for most of my career (math before that), so was usually spending more time in emails + meetings than coding. But I'm amazed now at how productive I can be as a single engineer with the help of tools like Claude + Cursor (and great infra / open source). Claude helped with a lot of the coding here, as well as UX, marketing copy, legal, etc. Just looking for feedback at this point. If there’s anything that would make this more useful for you, let me know!

Visit product View on Hacker NewsSep 19, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, email · Missing: mac, agents, macos

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: latex · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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