AI

AI/ML Jobs – Highly Focused AI/ML Job Board & Platform

Hacker News

AI/ML Jobs – Highly Focused AI/ML Job Board & Platform

Hello HN! AI/ML Jobs: AI/ML Jobs is a job board and talent platform ONLY for AI/ML & Data Science companies. There are 5 roles/positions that companies can post under. There are only 5 roles. Marketing, operations, and admin roles are NOT allowed on the platform. 1. AI/ML 2. Research 3. Ethics & Governance 4. Data 5. Software Engineering The whole product is built using No-code tools like Webflow and Memberstack! There will be no marketing, operations, and/or admin roles on this job board. Alternative job boards don't really focus on just AI/ML or have really bad design (UI/UX). Right now, this is only a Job Board but a whole suite of "platform" features will be launched later in future versions. This will be something completely different to anything else on the market currently. One thing I want to clarify before anyone asks or mentions, there is no "AI" being used in this. This opens the door to a lot compliance risk, especially in the EU Market. The purpose here is simple, to connect the best talent with the best AI/ML & Data companies. There would be no meaningful improvement to the product by adding "AI" features, especially at this stage. As a non-technical founder, I partnered with an small but amazing No-Code agency based in Ukraine called Warmdevs to bring this to life! At this early stage of the product feedback is EVERYTHING! I would greatly appreciate it if you could give some constructive feedback in the comments!

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Actual performance

1points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
89%89% 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: using, code, open · Missing: mac, agents, macos
56%56% 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
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, 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
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
28%28% 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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