Bookable Schedule – Schedule meetings directly inside ONE email

Hacker News

Hi Hacker News! We released a new meeting scheduling product today! You can use Bookable Schedule in Boomerang for Gmail or our iOS app to create a set of availabilities and share it as many times as you’d like inside your email. Recipients receive an image of your live availabilities and through the use of image maps, they can see and pick the right appointment slots directly inside whichever email client they’re using. If the recipient also has Boomerang, they can overlay their calendar on top of the schedule (still inside the email) to see which times work best for them! It works great for things like office hours, client appointments, sales calls, and more. It also doesn't shift the work of scheduling meetings to the person you're inviting, so it's better etiquette[1] and easier for recipients as well as the scheduler. Please feel free to take a look and play with it, we’d love to hear your thoughts! [1] https://twitter.com/JCornebise/status/1486809751602319371 (By the way, we are hiring for frontend and fullstack devs - i.want.to.work at baydin . com)

Visit product View on Hacker NewsMar 30, 2022

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

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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: calls · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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.

Correct prediction on native model

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