Wa

WalletLabels – Turn anon Ethereum addresses into understandable labels

Hacker News

WalletLabels – Turn anon Ethereum addresses into understandable labels

Hey HN, I'm Aiden and I created WalletLabels, a free search tool aimed at demystifying Ethereum addresses. It turns anonymous on-chain wallet addresses into informative labels, making it much easier to understand and analyze what's happening on the blockchain Quick demo: https://walletlabels.xyz I'm keen to hear your feedback and ideas for improvement. Reach out at aziz@walletlabels.xyz Thank you!

Share card

Actual performance

1points
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
55%55% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
44%44% 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: ide · Missing: https docs, excited, just released
43%43% 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
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Thingy
Thingy34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smart labels for your thingies

Product Hunt+117Home
RE
RESTful Status Labels46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RESTful Status Labels

Hacker News1
AZLabels
AZLabels84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One-Click Amazon FBA Labels for Thermal Printers

Indie Hackers42$1,221/mob2b
La
Labeler – Manage labels on GitHub as code51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Labeler – Manage labels on GitHub as code

Hacker News2
Advanced Woo Labels
Advanced Woo Labels83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WordPress ( WooCommerce ) plugin to create product labels.

Indie Hackers8$1,500/mob2b
Kn
Known – Semi-smart plant labels54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Known – Semi-smart plant labels

Hacker News12
A
A GitHub App that labels your issues for you47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A GitHub App that labels your issues for you

Hacker News2
Au
Automated GitHub labels set up49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automated GitHub labels set up

Hacker News2
Travel Animator
Travel Animator49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Name every stop your way with Place Labels

Product Hunt+134Travel
Pi
Ping penguin – labels with QR codes48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ping penguin – labels with QR codes

Hacker News2