OnAir – create link, receive calls

Hacker News

Hello HN community, This is bootstrapped/indie hacker-ish. Would appreciate feedback. What it is: You create a link (e.g. onair/yourname), and anyone can call you from it. Caller uses a web browser to make the call (not dedicated app). You can create as many links as you want, and can direct calls to colleagues in a round-robin or escalation manner. In a way, it's like the "opposite of Calendly"; whereas Calendly is about meetings in the future, OnAir is about immediate meetings. Motivation behind it: One of our SaaS products was struggling to grow. We believed that if we provide more "hand holding" to visitors on the landing page, it will increase conversion. It's like speaking to the guy behind the counter before making a purchase. That idea/experiment, over time, became OnAir. Feedback: Identifying the perfect use case / customer has not been easy. E-Commerce store owners, which I thought would be ideal customer profile, are not responding as expected (e.g. "why use this instead of a WhatsApp button?"). The value of branded links, round-robin, recording/transcription, lead capture, etc does not seem to matter much to them. Ideas are welcome.

Visit product View on Hacker NewsNov 15, 2024

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Indie HackersFits the IH revenue-focused audience · 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 · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, 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

37%37% 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: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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