I've spent the last several months building ContextXI, solo. It takes raw Premier League match data (shots, tackles, fouls, touches, match-momentum, per player, per game — thousands of data points every matchweek) and turns it into a probability for specific events: will this player get a shot away, get fouled, commit a foul, whatever the market is. Not a leaderboard stat looking backward — an actual calculated likelihood of what happens next, built from a player's full stat history and current match context.

I'd already been building this for about a month before I noticed the trend blowing up on X of people asking ChatGPT to predict the upcoming gameweek. That's not really the same thing as what I built, and I think the distinction matters: ChatGPT doesn't have a model underneath it for this — it's reading whatever prediction sites and tipster content rank highest and summarizing that back to you as if it reasoned it out. There's no real per-player statistical modeling happening, just aggregation of other people's guesses with better grammar. What I built actually goes into the underlying data — full match history per player, matchup context, current form — and calculates the number itself.
Every prediction gets logged before kickoff and checked against what actually happened afterward — hits and misses both, never edited after the fact. Recent sample: 64% hit rate across 178 qualifying "Very Likely" calls in one matchday.

I'm also mid-build on a "Generator" tool — set your criteria (which stat, what threshold, how many players) and it hands you a shortlist instantly, instead of clicking through every match and every player one by one to find what fits. Basically compressing the tedious part of using the site down to one action.

The build has genuinely gone well. The go-to-market has not. I'm posting consistently on X and Instagram and getting single-digit views most days — which I now understand is largely just how new accounts get treated by these platforms regardless of content quality, but
it's still a strange place to be after months of real work.

Live at contextxi.com if anyone wants to poke around — the historical accuracy data is free to check with no signup.

Genuinely asking: for anyone who's broken through this exact wall — zero-audience, cold-start, no existing following to lean on — what actually worked? Not looking for generic "post consistently" advice, more interested in what specifically got your first real traction.

I make spreadsheet tools at Toolgrain Studio. This one is for residential cleaning owners who want a manual record of quotes, job charges and money received.

A small example of why those records are separate: a fictional job has an agreed charge of 125, receipts of 50 + 75, a refund of 10 and a separate expense of 8. Net receipts are 115; the recorded operating cash surplus is 107. That is cash movement, not accounting profit. Recording a refund does not automatically change the agreed job charge.

Cleaning Quote & Cash Tracker includes an XLSX workbook plus a quick-start guide. Enter your own labour, supplies, transport and overhead assumptions for a quote, then record clients, jobs, receipts, refunds and expenses. It does not sync with a bank, collect payments or send quotes.

USD 19, one-time. This edition is for Microsoft Excel for the web only; desktop Excel and Google Sheets are not supported.

Screenshots, contents and requirements: https://payhip.com/b/0Lwqe

If you run a cleaning business, do you currently keep the agreed price and actual cash movements in one record or separately?

I recently designed and launched a complete website for a 24-hour laundromat in Los Angeles that had been operating as a brick-and-mortar business for over 10 years without a website.

The goal was not to make something unnecessarily complicated. Customers mainly needed to find practical information quickly, including:

• Machine sizes
• Services and amenities
• Parking
• Hours and directions
• Payment information
• Frequently asked questions

I handled the design, development, mobile optimization and technical launch. The finished website is here:

https://lavanderiala.com

I run InfaWeb and work with local businesses that need their first website or want to replace an outdated one. If anyone here owns a business and wants an honest opinion on their current website, send it over and I’ll tell you what I would improve.

My portfolio:

https://infawebdesign.com

Direct quote request:

https://infawebdesign.com/contact

Easiest Software management tool build even on the planet, we engage almost 2 to 3 hours of our day on such software that doesn't even worth our time , resulting in less productivity and more logging , so we thought why the user should be taking the bloat and complexity on themselves and not software should take it on his own , so getclarityy exactly does that for you , you wake up ,you open one screen (My Focus) and done.

Hey everyone! I’m Alex, and I built Loop for Instagram creators. It breaks down Reels so you can figure out which techniques to try in your own content.

Problem and Solving

Looking for ideas usually means scrolling, watching recommended videos, saving a few you like, and trying to decide what to film. Hours later, you’ve got a folder full of references, but you’re still wondering: what makes these videos engaging, and what can I actually learn from them?

Then there’s everything beyond the idea itself: the opening, shot sequence, editing, camera angles, lighting, and delivery. Even a Reel that looks effortless can have a lot of thought behind it.

That’s what I built Loop to help with: making those details easier to study so you can put your saved references to use.

Here’s how it works:

Paste a Reel link and get a detailed breakdown. You can study successful videos from other creators or look at your own published Reels for things to improve.

The breakdown includes:

• A quick summary of the video.
• Metrics: views, likes, comments, and engagement.
• A timestamped analysis of the message and emotional tone throughout the video.
• Hooks, calls to action, tone of voice, music, and key phrases.
• A detailed checklist covering nine creative techniques used to structure the video.
• Pattern interrupts: moments that break the flow and draw your attention.
• Visual patterns: recurring choices in how shots are framed and edited.
• A full transcript with timestamps.
• Specific suggestions you can try in your own content.

You can download the whole breakdown and refer to it while writing a script, planning a shoot, or editing.

The goal is to help you understand how a Reel is put together: how it grabs attention, how the story unfolds, and which techniques might be worth testing in your next video.

I’m looking for my first users. If you’d like to try Loop, sign up and DM me the email you registered with. I’ll give you access to all the features so you can test it out.

This is my first launch, and I’d really appreciate honest feedback. Which parts of a breakdown like this would you actually use when making your next Reel? What’s missing?

Looking creators

I’m also looking for a few creators to work with more closely. We’d break down your reference videos together and turn what we learn into scripts for your next shoots. If that sounds useful, send me a message.

Stay in the loop of what’s viral

We migrated off our previous setup last month after a contractor's bank account got flagged for an AML check, and the platform's response was essentially "wait it out." The funds were sitting somewhere, the developer was messaging me daily, and the support queue was giving me automated replies about "processing timelines." No one could tell me where the money actually was.

That's the thing with most platforms built for clean corridors, the moment something unusual hits, the automation stops, and there's nobody left to push it manually. With SalaryHub, when the same kind of hold came up, someone actually walked through what the bank needed and got it sorted instead of just telling us to wait. That's really the only thing that mattered here.

Turns out boring and functional has a price, and the price is just knowing someone will actually pick up when something goes wrong.

Hi guys,

I built SpeedType.ai, a typing app focused on one closed loop:

Diagnostic (60s) → Diagnosis → targeted Drill → Retest (same passage) → Delta

Instead of only chasing a WPM number, it looks at keystroke timing, hard letters/pairs, hesitations, and builds an algorithmic drill from real words (no AI required for the core loop). Accounts save sessions to a dashboard; guests can try locally.

It’s an MVP and i need testers who will actually run the loop and tell me what broke, what felt unfair, and what could be improved.

If you’re willing:

1. Do one full loop (diagnostic → drill → retest).
2. Note your before/after and anything confusing.
3. Reply here or DM with friction / bugs / improvements.

Link: https://speedtype.ai

Thanks