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I

I built a startup in 3 mins

Hacker News

I built a startup in 3 mins

My idea is to give a home for creators to find jobs without swarming into the pool of various job postings out there. So, I began coding a full-stack web app but wait, there is another way I can do it in just 3 mins. Here it is: https://twitter.com/jobs4creators Yes, a Twitter profile. Twitter got everything a job board needs. It gives a domain, hosting, messaging service, instant update, etc. So why bother building an app? It's simple for creators to access job openings too. I just went with it. The kind of jobs postings I expect here are content creators, copywriters, marketers, video makers, designers, etc. And I highly expect your feedback on this. Feel free to roast :P

Visit productView on Hacker NewsDec 28, 2021
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Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
47%47% 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 · Strong signals: host · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: coding, open · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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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