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Resinq – Build chatbots that speak and text

Hacker News

Resinq – Build chatbots that speak and text

Just launched Resinq, a platform we've developed to help anyone build chatbots that can both speak and text. Whether you need a customer support agent, a sales assistant, health assistant or something more specialized, Resinq makes it easy to create chatbots that are genuinely useful. : Voice & text responses: Chatbots that can talk or text, adapting to your needs. Knowledge base: Feed your chatbot with knowledge from text, Q/A pairs, documents, or websites. Easy setup: Deploy as a floating button on your site or app with minimal effort. We built Resinq to be powerful yet user-frendly, bridging the gap between simple tools and AI. Whether you're a developer, marketer or a business owner, we hope Resinq can add real value to projects. I’d love to hear your feedback!

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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: agent, user · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% 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
34%34% 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: platform · Missing: plus, intuitive, reviews
33%33% 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
22%22% 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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