My tool helps startups get practical customer insights

Hacker News

Senty.ai is a research tool I developed that delivers a comprehensive 'day one' research answer that can be used to get a serious head start on product development. Senty currently uses App Store reviews as the basis for assessing a number of metrics, from customer sentiment to change over time, areas in need of improvement and critical issues. Senty.ai leverages LLMs to asses and support the answer, but it is NOT a simple wrapper for ChatGPT. Is is a sophisticated research tool that when used with other methodologies (heuristic analysis, focus groups, surveys etc.) is extremely powerful. I am CX expert and ex-McKinsey consultant, and over the years I have led customer research projects around the world, focusing on incumbents who want to create new digital ventures.

Visit product View on Hacker NewsMay 27, 2024

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

90%90% 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: new, chatgpt, using · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

34%34% 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

29%29% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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