Sales chatbot for SaaS inbound leads

Hacker News

Hey HN, I'm Ariel from Dyle ( https://dyle.ai ), a sales chatbot for converting more inbound leads on your saas landing page. When building my last saas, i noticed a lot of lost leads that wouldn't book a demo. I realized people have a hard time understanding your value prop and just wanted their problem solved right when they enter your site. I went on to look for a sales chatbot and stumbled upon qualified, rep ai, and a bunch of others. all of them were thousands per month and really complicated to set up. I just wanted something simple, worked well and was customizable. So I built Dyle and we're launching today. Would love some feedback. if you want to chat feel free to email ariel@dyle.ai

Visit product View on Hacker NewsMay 29, 2025

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

91%91% 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: email · Missing: mac, agents, macos

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

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

26%26% 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 · Strong signals: saas · Missing: arr, mrr, revenue

21%21% 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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