ReliableTokens – Discover Reliable Crypto Tokens Early Before They Moon

Hacker News

ReliableTokens ( https://reliabletokens.com ) is an AI-driven tool that analyzes hundreds of Telegram channels to identify trending cryptocurrency tokens before they gain widespread attention. Key technical features: - Monitors 200+ Telegram channels 24/7 - Uses LLMs to identify recurring mentions and sentiment - Provides real-time updates via web dashboard and Telegram bot I built this to address the information overload in the crypto space. The system processes vast amounts of messages from Telegram, applying llms to extract meaningful patterns and trends. I'm particularly interested in feedback on this approach to data analysis and how it might be improved. Any insights on scaling the system or enhancing the accuracy of trend predictions would be greatly appreciated. As a side note for the HN community, I'm offering extended trial access to gather more diverse user feedback. Feel free to reach out if you'd like to test it more thoroughly. Looking forward to any technical discussions or critiques!

Visit product View on Hacker NewsAug 26, 2024

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

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.

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

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

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

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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 · Strong signals: recurring · Missing: arr, mrr, revenue

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency · Missing: web3, chat, make money

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

Correct prediction on native model

Similar products

Most Reliable and Decentralized Crypto Tokens54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trade or Invest in the Decentralized Crypto Tokens

Indie Hackers1$1,000/mocryptocurrency

Launchify64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create crypto tokens without coding

Indie Hackers

Crypto Accepted27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover who started accepting crypto currencies

Indie Hackerscommitment-side-project

Tokenlaunch – Find the best new tokens in Crypto38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tokenlaunch – Find the best new tokens in Crypto

Hacker News1

CryptoFinalFour – Tradable March Madness brackets as ERC-721 tokens52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CryptoFinalFour – Tradable March Madness brackets as ERC-721 tokens

Hacker News34

CryptoSkulls36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collectible Ethereum Tokens

Indie Hackers3$100/mocryptocurrency

YOLO+fire – move from HCOL to LCOL so you can retire early40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YOLO+fire – move from HCOL to LCOL so you can retire early

Hacker News3

EARLY - get early adopters52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EARLY - get early adopters

Hacker News1

Prelaunchers43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A platform to discover products for early adopters

Indie Hackers2advertising

Glendale AZ Movers14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reliable Movers in Glendale, AZ

Indie Hackers

Browse all products Analyze your launch