Li

LibreThinker, free AI assistant for LibreOffice Writer, 10k installs

Hacker News

LibreThinker, free AI assistant for LibreOffice Writer, 10k installs

4 months ago, I released an extension for LibreOfffice Writer that adds an AI copilot to its sidebar. Did a Show HN at the time but got no interest T_T https://news.ycombinator.com/item?id=46233776 I’ve added several major features since then, so I figured it’s worth doing another one. Features added: - The extension connects to a free online LLM by default, with no signup needed. All you need to do is install the extension and you’re ready to go. - Can connect to a wide range of online models if you bring your API key (Anthropic, Gemini, OpenAI, Mistral, Groq, etc) - Can connect to a self-hosted Ollama instance; I’ve also added the option to override the URL so feel free to test it out with other tools. - You can rephrase text you’ve selected (initially just added the output at the bottom of the document) I’ve also amassed over 10k installs in the meantime, which is nice. There’s still a ton of stuff I could add. But I don’t have much time in the evenings, and I’m not sure what’s the next most important thing to do. Any feedback/suggestions would be much appreciated!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, models · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, 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
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
41%41% 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, 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 · 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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