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TomeFlow – An AI IDE for your stories

Hacker News

TomeFlow – An AI IDE for your stories

Hi, I've been working on a not so little program which is meant to help you create your stories, or novels or books. It has: - a rich text editor with custom markdown support. - Git Integration. - OpenAI API support in a chat interface and a custom command interface You can download an use it for free. If you want to use the AI features you need to get a license key, it can be tested for a week for free and Gumroad offers a 30-day money back guarantee. And you have to provide your own API Key for OpenAI or Google Gemini or whichever other OpenAI compatible service you want to use. You can even connect to a local running instance of Ollama, LMStudio and possibly other services I don't know about. I've mostly been experimenting with Google Gemini myself since you can create and use an API Key for free with fair limits. I hope you like it.

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Actual performance

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, openai, gemini · Missing: mac, agents, macos
87%87% 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: gemini, compatible · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: llama, ide, io · Missing: https docs, excited, just released
63%63% 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: google · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
35%35% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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