I hate waiting on hold with the bank so I made an app that waits for me

Hacker News

Hi HN! I've been dealing with banks, telehealth, and CRA a ton these days over the phone. I guess a lot of others have too since the hold times have been ridiculous. I built a little tool that waits on hold on my behalf and calls me when an agent is on the other line. It's saved me some time so I thought I'd share it with others: https://youcallme.io I generated a few quick access pages for the worst offenders too: e.g. https://youcallme.io/wayfair https://youcallme.io/chase-bank https://youcallme.io/jetblue-airways https://youcallme.io/walmart and a bunch others. Would love to hear if you find it useful for yourself

Visit product View on Hacker NewsJan 21, 2021

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

38%38% 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 · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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