Ch
ChatMimi, Chat and Learn with Mimi
Hacker NewsChatMimi, Chat and Learn with Mimi
Hey all! I've been following the AI boom with reckless abandon and I think I finally have something worth sharing. I've turned one of the characters on my blog into a helpful chat assistant thanks to the power of large language models, HTMX, and Go on the backend. Please let me know what you think!
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos77%77% 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 released68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Le
Learn to code via chat55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn to code via chat
Hacker News1
MindTube52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ASK. CHAT. LEARN
Product Hunt+8
Clones48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chat, learn, and grow with AI companions
Product Hunt+356Social Network
Müse
Learn about yourself
BetaListLe
Learn Redux53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn Redux
Hacker News16Le
Learn R by Example61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn R by Example
Hacker News7Le
Learn R by Example61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn R by Example
Hacker News3Ru
Ruby Off Rails, Learn Ruby First.47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ruby Off Rails, Learn Ruby First.
Hacker News1Pr
Practicing Rails: Learn Rails without being overwhelmed47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Practicing Rails: Learn Rails without being overwhelmed
Hacker News11Fu
FumbleBrag – Learn from Others' Failures58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FumbleBrag – Learn from Others' Failures
Hacker News49