Ka
Kami – Write it in Slack, save it on Notion
Hacker NewsKami – Write it in Slack, save it on Notion
Hi HN, I'm the creator of Kami, an open source slack bot that allows you to create and define acronyms within messages, search and solve internal FAQs and summarize long message threads using Open AI. You can checkout a demo here: https://www.youtube.com/watch?v=CVgFTT3qKcc Love any support and feedback!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: slack, using, open · Missing: mac, agents, macos79%79% 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 · Strong signals: open source, io · Missing: https docs, excited, just released58%58% 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, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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, revenue18%18% 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, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Clipwise56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Save any page to Notion
Product Hunt+131Chrome ExtensionsSk
Sketchboard for Slack55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sketchboard for Slack
Hacker News5Sl
Slack Gamebot55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack Gamebot
Hacker News1Sl
Slack-pokebot55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack-pokebot
Hacker News1Sl
Slack + Discourse + StackOverflow = EffectiveDiscussions67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack + Discourse + StackOverflow = EffectiveDiscussions
Hacker News5Sl
Slack 538 – Presidential forecasts in Slack55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack 538 – Presidential forecasts in Slack
Hacker News2Sl
Slack Notifier for Xcode36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack Notifier for Xcode
Hacker News1On
On Interning at Slack55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
On Interning at Slack
Hacker News2Me
MemoryBot, an infobot for Slack55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MemoryBot, an infobot for Slack
Hacker News4SL
SLACK HUNTS55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SLACK HUNTS
Hacker News1