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LaTerM: LaTeX renderer for terminal AI tools
Hacker NewsLaTerM: LaTeX renderer for terminal AI tools
It can be annoying to use tools like Codex or Claude Code to edit scientific notes as they don't render LaTeX natively. I have fixed this issue. The performance seems good though it requires you to to use a terminal emulator which supports typescript which is admittedly gross. I have implemented this also as an Obsidian plugin at https://github.com/MaxwellsEquation/LaTerM-obsidian
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, codex, notes · Missing: mac, agents, macos78%78% 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: supports, latex · Missing: reddit linkedin, podcasting, created77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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