Acronym Slack Bot

Hacker News

Acronym Slack Bot

I created a Slack bot that crowdsources acronym and word definitions within Slack. When I started working I realized how many acronyms and words were being thrown around with the expectation that everyone in the room knew what they meant. I hated having to search around internal docs or Google to figure out what words meant, and thought there had to be a better way to quickly look something up without interrupting the meeting. So I created a super simple Slack bot that helps you define words within Slack and then crowdsources the definitions from the rest of the company by posting into a channel when the acronym or word is not yet defined. Would love any feedback! https://acronym-chatbot.herokuapp.com

Visit product View on Hacker NewsAug 6, 2019

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Actual performance

6points

3comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, new · Missing: mac, agents, macos

70%70% 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 · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google, way · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% 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, intuitive

26%26% 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, revenue

15%15% 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, cryptocurrency

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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