rolecompass.ai as a launch case: vet the LLM data, then Product Hunt with the cohort behind you
Harshit's first question about a product built on LLM-generated content was 'what's the basis of it saying high risk?'
Palak's site gives role-specific career guidance across about 400 roles with a tracked library of AI tools, refreshed weekly, payments on Razorpay, backend on Supabase. Harshit's due-diligence questions are the ones any LLM-sourced product must answer: is the data vetted (yes - curated models, tested, every claim linked to its source), is payment live, what is the stack. Then the prescription: a Product Hunt launch with cohort and AIC Mastermind upvotes, which Praful turns into a playbook - pick the day, coordinate the community, avoid launching against a big name (his 'Thumbify' mistake). Palak's own tip: telling the agent to plan only and execute later saved a meaningful share of tokens.
A real cohort product going to market, with the vetting questions attached.




