Weave – Talk Anonymously with Friends

Hacker News

A few months ago, Dalton & Michael explained how we can damage ourselves using social media. https://www.youtube.com/watch?v=RMW_33zyTK4 Michael put it this way, "We're living in a world where you need to be careful with your thoughts". Social media can be like a minefield—people hold back or get defensive, even with friends, because of fear of judgment or backlash. We wanted to create a platform where you can speak openly about important things without damaging relationships. Weave lets you start conversations with friends under an alias. Over time, as you build mutual respect and trust, you can choose to reveal your identity. It’s about creating a safe space for honesty, whether you’re talking politics, personal challenges, or just sharing ideas. Key features: - Anonymity that evolves: Start conversations anonymously and reveal your identity when ready. - Respect: Respecting comments moves you towards mutual respect and revealing identities. - Real friendships: Encourage respect and understanding, not shouting matches or echo chambers. - Built-in boundaries: A safe environment where your words aren’t tied to your public profile—unless you want them to be. We’re in early stages and would love your feedback. Does this idea resonate with you? Are there risks we should address or features you’d like to see? Thanks so much for your time and insights. We’re excited to hear your thoughts! — Mike Schoeffler, Founder

Visit product View on Hacker NewsNov 27, 2024

Share card

Actual performance

3points

6comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

80%80% 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, plain · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

57%57% 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, month, way · Missing: mobile apps, ios, entrepreneurs

41%41% 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

17%17% 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.

Incorrect prediction on native model

Similar products

Kiven Aa – Talk Freely and Anonymously43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kiven Aa – Talk Freely and Anonymously

Hacker News4

ChatToAnyone2%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Talk to anyone, anonymously and free.

Indie Hackerscommitment-full-time

Diogenes - a cronjob in a webapp to remind you to talk to your friends43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Diogenes - a cronjob in a webapp to remind you to talk to your friends

Hacker News10

Complain Anonymously about everything65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Complain Anonymously about everything

Hacker News2

Anonymously talk to co-workers53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Anonymously talk to co-workers

Hacker News2

Nameless12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Talk anonymously with people you know.

Indie Hackers1communication

An app where you can anonymously discuss about your boss54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An app where you can anonymously discuss about your boss

Hacker News2

Chat Anonymously on IRC74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chat Anonymously on IRC

Hacker News5

Tolk – Talk with strangers about topics anonymously (PWA)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tolk – Talk with strangers about topics anonymously (PWA)

Hacker News3

Am I Being Underpaid – Find the average salary of your team anonymously76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Am I Being Underpaid – Find the average salary of your team anonymously

Hacker News8

Browse all products Analyze your launch