Au

Autofill dates and time slots in Notion

Hacker News

Autofill dates and time slots in Notion

Hello! Merry Christmas and I hope you’re having quality time with your friends, family, and yourself! So I’ve been working on a new feature for my Notion date autofiller, and it is now launched: automatically create date and time slots for each day! This has been a slog, TBH. It's supposed to be a quick build but it took ages! Thanks to overthinking, and over-engineering :). I had to pause and cut it back down so I can finally finish and launch it. I designed this feature to help with all kinds of workflows: - Notion Habit Trackers: Instantly fill your daily habit check-ins and save time setting it all up. - Project Timelines: Automatically create time slots for tasks, so you can stay on track without extra work. - Trip Planners: Plan your trip easily by instantly filling time slots for activities and events. Anyway, here’s how you can try it out: 1. Go to https://app.popinvoice.com/datepop . 2. Select "Multiple rows per day". 3. Select your Notion database to autofill. 4. Configure the time slots and one or more properties to fill. 5. Run it! If you’ve been using DatePop or thinking about it, I’d love for you to try it for FREE at https://app.popinvoice.com/datepop and let me know what you think. I’m always looking to improve it! Thanks for your support and feedback!

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% 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, tasks, using · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 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
34%34% 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
26%26% 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
16%16% 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

Similar products

DatePop
DatePop43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Autofill Notion with dates.

Indie Hackers1calendar
De
Depoch – Unix Epoch for Dates46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Depoch – Unix Epoch for Dates

Hacker News2
SlayyDate
SlayyDate52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Where Real Dates Begin

Indie Hackerscommitment-side-project
Mi
Milestone Dates Generator36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Milestone Dates Generator

Hacker News1
Ai
Airlist – A nested outliner with Omnifocus like dates/perspectives47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Airlist – A nested outliner with Omnifocus like dates/perspectives

Hacker News14
Da
Dateformat – parsing and formatting dates faster than str[fp]time45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dateformat – parsing and formatting dates faster than str[fp]time

Hacker News3
Th
The Traveler – News between dates37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Traveler – News between dates

Hacker News2
Re
React Nice Dates48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

React Nice Dates

Hacker News17
Am
Amazon Alexa for Friendships and Dates24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Amazon Alexa for Friendships and Dates

Hacker News1
#datefromhome
#datefromhome54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Better digital dates

Indie Hackers1b2c