Ex Platform for SWEs

Hacker News

Hey guys, just sharing this project that I've been working on. Let me know what you think. This idea came primarily from my own experience in the software industry. After a while, I was feeling discouraged by my job, mostly because I felt expendable (like a code monkey), burned out, and had unchallenging work. It felt like the employers I was working for didn’t have an idea of what was going on or how their employees were feeling. They would talk a lot about the technical challenges, but never did we talk about any mental/emotional challenges. So I started thinking about what could be done to mitigate this problem and came up with this solution. An employee experience platform that tracks multiple psychological dimensions (specifically customized to track problems that can be faced in a software engineering environment) and gives the managers some insights into their teams/employees. I'm still currently working on the MVP but would love to hear what you guys think about the idea and landing page. The MVP should be out in 2-3 weeks from now.

Visit product View on Hacker NewsJul 16, 2022

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Actual performance

3points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

83%83% 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.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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: platform · Missing: plus, intuitive, reviews

28%28% 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

13%13% 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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