Email any [name]@subjam.com and a specialized AI responds

Hacker News

Hey HN, I've been working on integrating AI into email conversations. Email any [name]@subjam.com and a specialized AI responds. A custom system prompt is generated for each address making them more personalized to your request. You can CC multiple AI addresses and humans in the same thread. Attachments are supported too (images and PDFs). Here's a few to try: nikolatesla@subjam.com (persona) coding.challenge@subjam.com (fun challenges) iq.test@subjam.com (fun challenges) design.review@subjam.com (attach screenshot of website and get feedback) tone.check@subjam.com (check the tone of an email) einstein@subjam.com (persona) Or...be creative and come up with your own. Website: https://subjam.com

Visit product View on Hacker NewsMay 27, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

67%67% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% 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

50%50% 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: personal · Missing: mobile apps, ios, 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

13%13% 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

Mewz: A unikenrel specialized for running WASM60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mewz: A unikenrel specialized for running WASM

Hacker News4

DemoJS, a JS-specialized demoparty in Paris62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DemoJS, a JS-specialized demoparty in Paris

Hacker News39

RelativeCI38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Specialized insights for web bundles

Indie Hackerscommitment-side-project

Dinit – specialized init for Docker containers40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dinit – specialized init for Docker containers

Hacker News1

Arivonix AI30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Specialized AI for the work generic AI can't do.

Indie Hackers

Terrastruct43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Diagramming tool specialized for software design

Indie Hackers

A specialized data store for hierarchical data59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A specialized data store for hierarchical data

Hacker News1

Claimyourscore․com45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TrustMRRMobile App

esthetio.com53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ton institut mérite mieux qu'un DM

TrustMRR1$69/moSaaS

Lethimcookai.com45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TrustMRROther

Browse all products Analyze your launch