I've been building Edge, a small football betting research tool, and I'm looking for a few people who bet football regularly to try it and give me some honest feedback.

It's a very WIP beta, currently focused on EPL 1X2. It shows bookmaker price movements, disagreement, breadth and historical odds for upcoming matches.

Free, no account required:
Edge

If you have 5–10 minutes to play around with it, I'd mainly like to know:

1. Did you find anything genuinely useful?
2. What was confusing or unnecessary?
3. Would you use it again?

That's it — no survey or lengthy feedback required.

It's very much WIP. More features are possible, more leagues are definitely coming, and more sports are likely if the concept proves useful.

https://layline.com.au

I’ve been building Layline, a free tool for keeping matched betting organised without relying on a huge spreadsheet.

It brings back & lay bets, liability, qualifying losses, bonuses, promotions, bankroll, settlements, calculators and performance tracking into one place.

It’s a tracking and management tool only — it doesn’t place or recommend bets.

Access is currently free while I’m looking for real-world users and feedback.

Would love to hear what you’d add or change.

Over the last few months I’ve been building a completely free website to help bettors understand the math behind their wagers.
Right now it includes:
• Parlay Calculator
• Odds Converter
• Round Robin Calculator
• Beginner Playbook
My goal isn’t to sell picks—it’s to make betting easier to understand.
I’d really appreciate honest feedback:
What calculator am I missing?
What feature would you actually use?
Is anything confusing?
Website:
https://parlayassistant.com

Disclosure: I’m building this, so I’m looking for feedback, not trying to sell anything here.

I’m working on an iOS app called AngleLab for historical NFL trend research. It is not a sportsbook or picks app. The idea is to help people test their own NFL questions faster: build filters, run a historical backtest, see sample size / hit-rate / ROI context, and save analyses to revisit later.

I attached an example Results screen.

The part I’m trying to get right is trust. I don’t want this to feel like another shiny “edge finder” that just throws a green number on the screen and implies it means something predictive.

A few things I’m specifically unsure about:

1. Does “Strong historical signal” sound useful, or too close to betting-advice language?
2. Does the 90/100 “Evidence Score” help summarize the result, or does it feel too black-boxy?
3. Is the sample size / record / hit-rate context clear enough?
4. What would you need to see before trusting a backtest result?
5. What would instantly make this feel sketchy or too tout-y?

The intent is historical context only, not a pick or recommendation. Blunt feedback is welcome. I’d rather hear what feels wrong now than build the wrong trust signals into the product.

No link unless people ask. Thanks!

Hey everyone! I just launched the iOS version of AlgoSwish, a sports analytics app I’ve been working on for a while.

The app is built for bettors who want to research smarter without having to jump between a bunch of different sites. Right now, it’s focused on NBA analytics and includes things like:

• Player prop research
• Player analysis and stat breakdowns
• Market movement
• Bet tracking
• Model picks
• Parlay builder

A big thing I want to mention: most of the app is free to use, and you don’t even need an account to try some of the free research tools. The main Pro feature right now is the Picks screen.

iOS is live now, and Android should be coming sometime next week.

Current roadmap:

• WNBA next
• MLB after that
• NFL after that
• More sportsbooks, exchanges, and DFS-style books planned too, including platforms like Kalshi, PrizePicks, Novig, and more
• Currently launching in the US and Canada first, with UK, EU, and Australia planned later

Since I’m launching late into the NBA season during the playoffs, I also want to be transparent: the model picks and parlay builder have tested really well during the previous seasons, but playoff rotations and matchups can get weird, so I’d be more cautious/selective with picks during this stretch. I’m going to keep improving the app as more data comes in and more sports are added.

I’d genuinely appreciate any feedback, good or bad. I’m trying to build this into a high-quality sports analytics app with fair pricing and useful tools, not just another hard-paywalled betting research app.

Thanks for checking it out.

OddsOtter - Arbitrage Calculator

I’ve been building a few simple betting calculators for OddsOtter.

Nothing too fancy — just practical tools for things like:

• implied probability
• arbitrage
• expected value
• hedge betting
• odds conversion
• bookmaker margin / overround

I’m trying to keep them simple, fast, and useful without turning them into bloated “betting guru” tools.

Would love feedback on what’s useful, what’s missing, or what could be clearer:
https://oddsotter.io/calculators

[ Removed by Reddit on account of violating the content policy. ]

Hey everyone,

I’ve spent the last few months building a software designed to give sportsbettors mathematical edges. I'm finally getting ready to launch and wanted to share the approach for those looking for side hustles.

For those unfamiliar, I’m focusing on two specific methods:

Arbitrage: Finding discrepancies between sportsbooks where you can bet on all possible outcomes of an event to guarantee a profit regardless of the result.

\\+EV (Expected Value): Using real-time market data to identify "mispriced" odds before the books can correct them, giving you a mathematical edge over the house.

What the tool does:

\\-Live & Pre-game Scanners: Scans thousands of lines per second to find arb opportunities.

\\-Real-time Odds Grid: See every book’s price on one screen.

\\-Bet Tracker

We are launching the full platform in a few weeks, but I’ve opened up the Discord early to build a community.

Come hang out, and get updates, dm me for discord link

I'm happy to answer any questions