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I built a Slack bot to answer the question who owns what

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I built a Slack bot to answer the question who owns what

Hi, I built a slack bot called "whoowns". It helps remote distributed teams by answering the question who owns what straight where collaboration happens; in slack. I've worked in a remote distributed team for 3 years and grew frustrated after so many re-orgs, people moving between teams, team name changes.. you name it! it gets confusing knowing who owns what -- which for one makes for a less ideal oncall and often evolves into a ping pong of slack messages. So! its free and asks for the most minimal data access that I could get down to: some questions it can answer all in 1 place - Who's oncall for this service? - Which team owns X? - I cant find which team owns X - oh its called by the another term. - What channel should I go to to ask a question? - What is service X? - Where can I find the link to the runbooks? next features i plan on working on - connect a notion table (for those who's org chart is saved there) - list repositories without codeowners - search mono-repositories that are owned by multiple team owners - list services without active oncall schedules - and more.. thoughts? have other ideas of what you'd like to see?

Visit productView on Hacker NewsDec 23, 2023
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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, using, code · Missing: mac, agents, macos
87%87% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
22%22% 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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