r/newproducts

I recently took a couple of weeks of annual leave, and instantly my wife promoted me to Head of Weekly Shop.

I spent 45 minutes writing a "proper" list, did 3 full laps of the supermarket hunting down everything on it, came home two hours later feeling pretty pleased with myself... until Laura reminded me I forgot dishwasher tablets and the bear card things the kids like. So we built an app to fix it.

For two weeks, Laura became unofficial Head of Product, telling me exactly what was annoying her about the shop. Me and my pal Claude, who luckily was also on leave, would build it. Laura would test it, pick it apart, and we'd go again.

What we ended up with is plenti. It started as us just trying to stop forgetting dishwasher tablets, but the problems and the fixes kept coming thick and fast, so a list turned into an app.

It's a personalised AI shopping list that learns what you actually buy and builds it for you in seconds. No more 45 minutes writing it out, no more 3 laps of the shop hunting for things you missed. Works standalone, but if you're a Sainsbury's shopper it connects straight to your account and gets even better.

It's iOS in the UK only for now (sorry), but it's live on the App Store. Small subscription on it, purely so the AI running costs don't quietly bankrupt me: £1 covers your first shop, then £7.99/month if you stick with it.

If you, or anyone you know, does the weekly shop (willingly or otherwise), I'd genuinely love for you to try it and tell me what's broken. Also happy to talk through the build, it's Supabase, Expo, and the Claude API doing the heavy lifting.

https://shopwithplenti.com/

Hey, I’m the developer of PC Recap.

Most computer-usage trackers answer, “How productive was I?” I wanted something that answered, “What did this part of my life on my PC actually look like?”

PC Recap records active application usage and turns it into visual Today, Week, Month, Year, All-Time, Decade, and On This Day recaps.

Version 1.1 is the biggest update so far:

• Day Replay lets you scrub through a recorded day
• Recap Studio creates stories for years, seasons, decades, or custom dates
• Automatic eras detect phases like a gaming era or coding era
• Memory Pins let you attach your own context to a period
• Historical Recovery can find limited pre-installation clues without pretending they are exact usage time
• ActivityWatch and ManicTime sessions can be imported
• Search, comparisons, time formatting, chart tooltips, and app detection are much clearer
• Tracking is more resilient to crashes, restarts, pauses, and closing the window

PC Recap is now open source under GPL v3. Everything is stored locally in SQLite. There is no account, desktop telemetry, cloud activity storage, or external AI API. A new archive starts empty, with no fake statistics.

ActivityWatch is still the stronger choice if you need Linux/macOS support, browser extensions, editor plugins, or an extensible tracking ecosystem. PC Recap is aimed at a different experience: less productivity dashboard, more personal digital time capsule. It can also import ActivityWatch sessions if you want to use both.

PC Recap is currently a Windows 10/11 x64 beta. The installer is unsigned, so Windows may display a SmartScreen warning.

Website: https://pcrecap.online
Source: https://github.com/TheAgencyMGE/pc-recap
Version 1.1: https://github.com/TheAgencyMGE/pc-recap/releases/tag/v1.1.0

I’d especially appreciate feedback on tracking accuracy, the new Day Replay, and whether the recaps become interesting after a few days of real use.

Imagine if you could view your entire digital history through recaps, eras, and nostalgic timelines. Thats what PC Recap does, it turns your PC into a shareable digital time capsule with milestones, events, and more.

Download at https://pcrecap.online

I built an app called Foundit specifically to eliminate the hassle of figuring out how much something is worth. Integrate with your ecommerce platform of choice and sell anything for the correct market price.

https://apps.apple.com/us/app/foundit-product-identifier-app/id6749553528

Hey everyone,

I’m working on a new AI product-management platform and would love 15 minutes of your time to learn about your daily AI workflows and get unfiltered feedback on my concept.

The Problem Current AI assistants are brilliant amnesiacs and sycophants. They forget your context every session, agree with whatever you say, and do nothing to stress-test your decisions before they ship. Meanwhile, organizations constantly forget why past bets were killed, leading teams to accidentally build the same failed solution twice.

What I'm Building: Arrwin Arrwin is an AI platform focused on judgment-defense.

• It remembers and challenges: It builds a decision graph from your normal usage. If a new recommendation contradicts a past logged decision, Arrwin pushes back and challenges you with a citation (e.g., "This contradicts a decision you killed last month—what’s different now?").
• It stress-tests: Every output is engraved with unvalidated assumptions and specifically calls out who would object to your proposal.
• It earns autonomy: Arrwin joins as a "PM Intern". It earns trust through a silent scorecard of wins and must explicitly request a promotion to gain more autonomy.

Who I'd love to chat with:

• Startup PMs (Doers): Tool-forward PMs who already use AI but lack extra hands for research.
• Enterprise IC PMs (Analysts): PMs in large orgs who are drowning in surface area and lack proactive anomaly flagging.

If you're open to a quick chat to discuss what your current AI gets wrong and how your org handles "killed bets," please drop your AI usages and let's take the discussion from there!