numeris

TrustMRR

Numeris is a fair, transparent on-chain lottery web app. Users pick numbers, buy tickets, and can send tickets to other wallets. Every draw is verifiable; winners claim prizes to their wallet. The app includes a home dashboard, ticket purchase flow w/ number selection and multi-ticket support, results and draw log, profile, operator panel, analytics, and support/legal pages. Built as a modern MVP w/ a dark, space-themed UI; currently runs on mockdata, structured for future on-chain integration.

Visit product View on TrustMRRFeb 12, 2026Crypto & Web3 Theater stripe

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

54%54% 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.

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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

SeatSync62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SeatSync is a app where users can buy and sell tickets.

Indie Hackers1advertising

Producta

AI that solves your tickets

BetaList

FlowTux28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI helpdesk & ticketing system that closes its own tickets.

Indie Hackerscommitment-full-time

MailMyCustomer74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Web App to send Emails for Stripe users

Indie Hackers1email-marketing

redBus38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Online Bus Tickets

Indie Hackers

Tickets Ibiza16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find tickets to Ibiza's best nightlife events.

Indie Hackerscommitment-side-project

Wireshark as a web app48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wireshark as a web app

Hacker News164

My first web app, DailyDo.it48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app, DailyDo.it

Hacker News142

My first web app - HakingPot48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app - HakingPot

Hacker News8

Vetter - please critique my first web app37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vetter - please critique my first web app

Hacker News17

Browse all products Analyze your launch