Minutehand
Indie HackersAutomatic meeting transcripts for your AI agent to read
All our context now lives inside our LLM of choice. And yet meeting tools insist on offering AI summaries based on single meetings. All Claude needs is the meeting transcript — so it can review it within that context.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, claude, context · Missing: mac, agents, macos94%94% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% 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, revenue26%26% 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, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Su
Summarizing Earnings Transcripts with AI46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Summarizing Earnings Transcripts with AI
Hacker News4So
Socially-Transcribed Transcripts61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Socially-Transcribed Transcripts
Hacker News4Gi
Give your AI ears – live meeting transcripts over MCP on macOS34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Give your AI ears – live meeting transcripts over MCP on macOS
Hacker News3Ob
Obiklip – read transcripts, find and create video segments quickly40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Obiklip – read transcripts, find and create video segments quickly
Hacker News12Au
Automatic Parallelization for Haskell74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatic Parallelization for Haskell
Hacker News1Au
Automatic CloudWatch Alarms52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatic CloudWatch Alarms
Hacker News1AP
APReF: An Automatic Parallelizer of Recursive Functions for Haskell67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
APReF: An Automatic Parallelizer of Recursive Functions for Haskell
Hacker News2Au
Automatic Installer for ArchLinux ARM51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatic Installer for ArchLinux ARM
Hacker News1AI
AIlight: Automatic Highlighting52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AIlight: Automatic Highlighting
Hacker News1Au
Automatic initializer methods for Objective-C39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automatic initializer methods for Objective-C
Hacker News3