Ti

Tinycoder is a tiny provider-agnostic alt. to Codex/Code/Gemini CLI

Hacker News

Tinycoder is a tiny provider-agnostic alt. to Codex/Code/Gemini CLI

I was frustrated with some of the existing tooling and I made this after using Aider, Claude Code, OpenAI Codex and Gemini CLI extensively. I wanted something that could work with local models, or any provider which would have SOTA models. I have been using tinycoder for all my projects (including making changes to tinycoder itself) for the past 2 months and I have no desire of switching. It works best for Python projects, but I've used it for JS/Node projects too with great success. If you're on Android, you can easily install this in Termux too (which basically allows you to code on your phone quite easily). I am really eager to hear HN's critical feedback. I do imagine a future where software engineers will build the IDEs and tools themselves! If you're interested in working together or if you have suggestions to improve tinycoder, give me a shout at vaneijk.koen@gmail.com.

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, codex · 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: including, gemini · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
49%49% 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 · Strong signals: month · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% 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
15%15% 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.

Correct prediction on native model

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