Due Gooder

Due Gooder

Product Hunt

Turn your syllabus due dates into a calendar, instantly

Share card

Actual performance

115upvotes
5comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
83%83% predicted probability of success on BetaList, 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
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

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
Ch
Chrome extension that converts BC/BCE dates to Holocene Calendar dates30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chrome extension that converts BC/BCE dates to Holocene Calendar dates

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
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
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