I made a website that lets you hyper-personalise cold emails using AI

Hacker News

Just wanted to share with you something I built. If you're an email marketer who sends a lot of cold emails, this will be of interest to you. Hypera.app is a site where email marketers can hyper-personalise their cold emails using the power of AI. I'm solving the following problem: Personalisation is super important for email marketing, significantly increasing CTR and response rate for cold emails. But it takes a huge amount of time to do manually, and is therefore not scalable. Hypera uses AI to generate personalised introductions in email messages. I've been using it myself, and have seen a doubling of CTR in my cold outreach. Right now, the product is only for YouTube creator/influencer outreach, but depending on interest, I might expand it to other scenarios. Interested to hear your feedback. Thank you!

Visit product View on Hacker NewsFeb 20, 2024

Share card

Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

92%92% 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: email, using · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, 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.

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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Blastable60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get More Emails Inboxed Using AI

Product Hunt+167Email

Lyne.ai80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lyne.ai using AI to personalize cold emails at scale

Indie Hackerscommitment-side-project

Personalised cold emailing using AI22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Personalised cold emailing using AI

Hacker News5

fastreach.io81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hyper-personalized cold emails sent on autopilot

Indie Hackerscommitment-full-time

I Ordered an Uber Using AI44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Ordered an Uber Using AI

Hacker News1

Using AI to Maximise Holidays31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Using AI to Maximise Holidays

Hacker News4

DialWave48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Using AI to revolutionise telephony

Indie Hackers2ai

EmailFast, find emails and get personalized cold emails56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EmailFast, find emails and get personalized cold emails

Hacker News2

Lola AI59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hyper-personalize your emails

Indie Hackers1ai

Vessel55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vessel lets you build website using CraftDocs

Indie Hackers1b2c

Browse all products Analyze your launch