Tesse, a new interactive search engine

Hacker News

I've been working on a platform (tesse.io) that allows you to search global experts and connect with them via chat and video call. It works like an expert search engine, you can search by a keyword of skills or expertise and you get people as results. You can use it as a tool to search for someone that can help solving your issues, and you can also join as an expert if you are confident about your knowledge in a field (right now we have 3 fields, we will expand more soon), once you choose to be an expert you have a chance to earn money from sharing your knowledge and this's like a flexible job for those who want to have extra income. Tesse has the independent contact tools which to keep all of the transactions in extremely privacy, it has the simple interface and the payment system as well. Tesse was launched a few days ago. Me and my team are still working on it to improve it more but what we need right now is reviews and amount of initial experts to stay on the platform so please help us by register as an expert (it's free). We never spam and thank you in advance!

Visit product View on Hacker NewsMar 23, 2017

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5points

3comments

Did not reach leaderboard

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

82%82% 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: new · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, reviews, interface · Missing: plus, intuitive, host

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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.

Incorrect prediction on native model

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