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SmolCopilot – 360M LLM writing assistant in the browser

Hacker News

SmolCopilot – 360M LLM writing assistant in the browser

Hey! I've been really intrigued about small, on device models recently. This project was to explore that a small base model running in the browser as a Co Pilot-like writing assistant. You can check out the demo here: smol-complete.vercel.app. Smal, on device models have a lot of advantages with low latency, cost, privacy (a big one), and being task specific. The demo will definitely repeat itself and hallucinate sometimes, but let me know what you think!

Visit product View on Hacker NewsAug 20, 2024

Actual performance

11points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos

86%86% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

62%62% 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, intuitive

43%43% 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, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

13%13% 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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