Jelly – A simpler shared inbox for small teams

Hacker News

Hello HN! I wanted to share something we at Good Enough ( https://goodenough.us ) built over the past year: Jelly! https://letsjelly.com Jelly is a simpler shared inbox for small teams (like us) to answer team email. We had just been sharing a login to Fastmail previously, but as email started getting busier, that really started to stink as a solution — no one knew who was going to answer what, if someone else saw an email or not, etc etc. And a Google Group would prove to be worse, as replies too easily got lost to personal inboxes if someone accidentally didn’t “Reply All”. It wasn’t great! We went looking for a tool to solve these problems, but everything we found was way too much software, and really quite expensive charging per seat. We didn’t need a complex ticketing system. We just needed email, as a team, in a simple and sane way. So we built Jelly! And we’re not charging per seat, so you can bring your whole team for a very affordable price. (As a quick comparison for our team of six: Jelly’s lowest tier costs just $29/month while Zendesk’s costs upwards of $330/month.) We would love to hear thoughts from anyone on a small team that needs to handle shared email. Also, if you know of other teams in that same position, we’d appreciate you letting them know about Jelly. Thank you!

Visit product View on Hacker NewsNov 12, 2024

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

77%77% 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: google, new, inbox · Missing: mac, agents, macos

76%76% 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

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

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% 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

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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.

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