Ge

Get an Eulogy in Minutes, Effortlessly

Hacker News

Get an Eulogy in Minutes, Effortlessly

Hi HN, I made an app to help those who lost a loved one, write their eulogy fast and easily. Simply give a few details about the deceased and the AI will write a custom eulogy. Yes it's another AI wrapper, but I didn't see this use out there yet. In the future, I plan to use a model like Mistral and fine-tune it to this specific case. Any idea on how to do that ? Thank you for your feedbacks, Have a great day everyone ! pomdevv

Visit product View on Hacker NewsJan 30, 2024

Actual performance

4points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

69%69% 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 · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% 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

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

Correct prediction on native model

Similar products

Twon – Tweeting Effortlessly53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twon – Tweeting Effortlessly

Eulogy Generator78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Effortlessly craft a eulogy in minutes.

Indie Hackers1$500/moai

Cancel your Comcast in 5 minutes50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cancel your Comcast in 5 minutes

GetPaywall – Put a paywall in 5 minutes69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GetPaywall – Put a paywall in 5 minutes

Robust Canary Deployments in Minutes39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Robust Canary Deployments in Minutes

Vendict30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vet your Vendors in minutes.

Indie Hackerscommitment-full-time

MakeADir72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Effortlessly create online directories with MakeADir's no-co

Indie Hackers1advertising

Fayol55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Organize yourself effortlessly with ai

Indie Hackers1ai

I converted my Backbone/Rails app Cloudedit to Parse in 5 minutes42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I converted my Backbone/Rails app Cloudedit to Parse in 5 minutes

Sequel – Effortlessly understand your data49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sequel – Effortlessly understand your data

Browse all products Analyze your launch