User Simulator – a tool that turns your users into chatbots

Hacker News

My name is Hussain and I made a tool called User Simulator. I have been writing software tools for many years and end up spending a lot of time trying to understand my users with interviews, market research and analyzing metrics. So I wrote this tool to turn my users into chatbots so I can ask them questions directly. The current version is a Chrome extension that allows you to turn the LinkedIn profiles of your target users into chatbots in 1 click. It collects information about them from various public sources in the background to complete their profile. You can ask both straight and speculative questions like "Which dev tools do you currently use in your engineering job?" or "Will my product solve your problem?" What I have noticed is that not only can it answer my questions as reasonably as a real user, it exceeds them in clarity. It's like having your target user with you at all times. In the future, I plan to write integrations that can pull data from analytics tools such as Posthog and add it to the user profile, if the user is already onboarded on your products/apps. Give it a try and let me know what you guys think. I'd love to hear your suggestions and feedback.

Visit product View on Hacker NewsApr 16, 2024

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

87%87% 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: apps, user · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, 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

46%46% 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: users · Missing: plus, platform, intuitive

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

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

35%35% predicted probability of success on TrustMRR, 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 · 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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