BobbyChat MVP – Helping You Navigate Work Place Stress

Hacker News

Hi we're Toni (ex-Google DeepMind) and Claire (GP & Burnout expert) co-founders of BobbyChat! Our mission is to solve workplace burnout by making coaching and talking therapies accessible to everyone. We started in May are looking to get feedback on an MVP we are developing. There's nothing to download, you just provide your phone number and you will be connected to Bobby via WhatsApp. We kindly ask that you use Bobby to talk about what's on your mind, rather than actively try to break it... we're not far along enough yet for that kind of feedback to be useful. We'll re-share Bobby when we are ready for red-teaming! Connect to Bobby at bobby-chat.com . We are grateful for any feedback, but specifically we want to understand the following: 1. How easy was it to connect to Bobby? 2. Did you know how to start a second conversation with Bobby? 3. How did you find the interaction?

Visit product View on Hacker NewsAug 9, 2023

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

83%83% 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: google · Missing: mac, agents, macos

52%52% 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: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google · 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 · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

18%18% 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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