resonaX

3 ms·

1. 1.▲
   by resonaX 11mo ago

   Right now, we validate twin responses in a few ways: Ground truth comparison: When users upload CRM notes, Gong call transcripts, or win/loss data, we benchmark the twin’s language and objections against what real prospects actually sa
2. 2.▲
   by resonaX 11mo ago

   Thanks — that’s exactly the problem we’re trying to solve. Traditional personas go stale fast, and most survey data is self-reported, not behavioral. On hallucinations and bias: We handle it in three ways right now — Grounding in real data:
3. 3.▲
   by resonaX 11mo ago

   A quick clarification and some context on how the “AI twin” actually works. - Each twin isn’t just a generic chatbot. - It’s grounded in real behavioural data + psychology frameworks (like MBTI and DISC) that are matched with customer roles
4. 4.▲
   Show HN: I built AI twins from LinkedIn and CRM data to simulate real B2B buyers(resonax.ai)

   2 points by resonaX 11mo ago|7 comments
5. 5.▲
   by resonaX 1y ago

   thanks bix6. - Video point is totally taken, it was my first time recording a demo so I guess went a bit longish but will try to shorten. - great idea about defaults like 20M ARR SaaS CMO, SaaS Founder etc. Just that by putting a linkedin p
6. 6.▲
   by resonaX 1y ago

   Thanks for your feedback tene80i. - yes the accuracy is upto 70% as of now from what little testing we have done. It is able to give these responses based on the personality analysis that resonaX does based on the online behaviour of the p
7. 7.▲
   Ask HN: Review my startup – AI customer twins for instant marketing validation

   1 points by resonaX 1y ago|5 comments