An
An LLM chat app using Apple's FoundationModels
Hacker NewsAn LLM chat app using Apple's FoundationModels
Despite Apple’s fairly clear warnings that their 3B 4K model is not for use as a chat app, I had to try anyway. There’s definitely plenty of work to do but it’s starting to become useful. Happy to answer any questions about limitations, what it’s good at, and how to coax it. The safety guardrails and forced disneyfication make this especially challenging.
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4points
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Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: model, apple, models · Missing: mac, agents, macos90%90% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal51%51% 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, podcasting47%47% 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: io · Missing: https docs, excited, just released43%43% 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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, cryptocurrency7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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