Thonest – Honest discussions around your product or service

Hacker News

Hey HN, I've been working on a service for the past few months that allows companies to have open and honest discussions around their website or product. Companies can add "discussions" to their website or platform that allows users to chat back and forth with each other. Comments cannot be deleted by the admin, just flagged if they are offensive or do not follow Thonests terms and conditions. This way people know that the conversation is not being altered by anyone. This is a win-win to both the companies and the users. Users can put more trust in a company before making a decision or purchase and companies can gather feedback and answer questions. I would love to hear your thoughts. You can check it out here - https://thonest.com

Visit product View on Hacker NewsMar 4, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month, users, way · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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