Raftwise – Leave Thoughtful Comments on LinkedIn Posts

Hacker News

Hi HN! I'm excited to share my latest project: Raftwise Browser Extension (for Chromium based browsers), a tool for structuring thoughts and adding a personal touch to LinkedIn interactions. The extension is available for everyone to try for free, and I'd appreciate your feedback to make it even better. How it works: It helps structure your thoughts and adds a personal touch to your LinkedIn interactions, making each engagement more meaningful. Under the hood: Of course the extension creates comments using AI. But unlike other tools that I've tried, here comments are created with AI rather than by AI. Next steps: I'm currently building a more comprehensive product to help with quality content creation. The waitlist is open, and I invite you to join and be among the first to experience try it. Request for feedback: Your thoughts and feedback would be incredibly valuable in refining it.

Visit product View on Hacker NewsJun 13, 2024

Share card

Actual performance

1points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

86%86% 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: using, open · Missing: mac, agents, macos

75%75% 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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

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

FeedVector45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn LinkedIn posts and comments into clients

Product Hunt+8

Linkedora63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Linkedora with create linkedin posts

Indie Hackers1$50/moadvertising

Reactions poll generator for LinkedIn posts28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reactions poll generator for LinkedIn posts

Hacker News1

Who's hiring thread for LinkedIn posts52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Who's hiring thread for LinkedIn posts

Hacker News11

Postzy58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Schedule LinkedIn posts with ⏰ Postzy

Indie Hackers1productivity

SpeechPost50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn spoken ideas into LinkedIn posts

Indie Hackers1ai

Linklet – Save and search your LinkedIn posts cleanly16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Linklet – Save and search your LinkedIn posts cleanly

Hacker News1

Virly52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Viral LinkedIn posts in your voice

Product Hunt+141Writing

One click LinkedIn posts library47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One click LinkedIn posts library

Hacker News2

LinkedIn Cringe Filter – Categorise LinkedIn posts before you read them30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LinkedIn Cringe Filter – Categorise LinkedIn posts before you read them

Hacker News5

Browse all products Analyze your launch