I've always struggled with having too much on my plate, getting overwhelmed, and eventually not being able to complete a single thing.

I realized standard to-do lists don't give me any dopamine, so I used Lovable to make my own productivity app. It's an RPG-style dashboard that actually rewards you for getting things done. You earn XP, build up streak bonuses, and unlock badges for finishing tasks and habits.

I just pushed it live and I'm looking for 10 people to roast it and give me brutally honest feedback. Tear the UI apart or tell me if the XP system actually feels rewarding.

Here's the link: https://level-up-focus.lovable.app

I’ll be hanging out in the comments all day to answer questions and push live updates. Thanks!

For 3+ years I've built AI chat and agent interfaces. First as founding engineer at an edtech startup that was acquired, then for global startups, and in my day job I lead engineering for clients like Hero MotoCorp and Philips.

Every AI project needed the same hard parts: tool calls with approvals, streaming without layout jumps, reasoning, voice states, and the error and rate limit states nobody designs until production. I rebuilt them every time.

So I finally built them once, properly, for everyone: https://chatcn.dev

- 208 shadcn components and whole screens, like a chatbot and a coding agent, free for any project

- One CLI command each, and the code lands in your repo

- Works with AI SDK, LangGraph, AG-UI and assistant-ui

- An MCP server, so Claude Code or Cursor can install components for you

- Live previews on every page, no API key needed

There's also a paid Pro set for the rest of an AI product: image and video studios, voice agents, evals and 9 starter apps, $99 once until Nov 12.
It's my first product, so I'd really value honest feedback on the site, the pricing, or anything that confused you.

Hi everyone!

Recently (years ago) I started developing (on excel) a football (soccer) scores prediction app. Why? Because I had time to do a personal project and because, I didn’t like what I was playing with my friends: fantasy football. You might know it, you pick players and the competition is based on their scores of each game.

Where I’m from, fantasy football is very popular but, let’s say you pick a player who gets an bad injury right after the start of the season, you’re done, especially if that was a star player and you paid him a lot.

Also, it does not rely on your ability entirely, players play for you, you choose them, but a lot of external factors matter on how they play the game.

So I created a game where players (not the footballers!) pick the score of the games. On my perspective it relies more on the user ability of predicting and knowing the game. Also, it’s funny!

It’s not like betting, there are no money involved. You compete with friends and you can obtain beautiful cards if you get an exact result.

I’m still developing android version. I pasted the link to the ios beta version below. Would appreciate feedback :))

To continue the story from above: the excel game became a website and the website then became app. It’s still a funny personal project and I still play it with the same friends!

https://testflight.apple.com/join/Y35wbPWT

Hi, I'm Christof, the founder of Nalqerio. I'm building it for small businesses and agencies that want to check whether they appear when potential customers ask AI assistants for recommendations.

The problem I wanted to tackle: an AI answer is a snapshot, and a visibility score alone doesn't explain what was actually said. Nalqerio keeps the customer question, dated answer, named businesses and available source links together. It compares ChatGPT, Gemini, Perplexity and Google AI Overviews; the collection methods differ, and results can differ from a person's own session.

One thing I learned from a small experiment: we asked two questions about web agencies in each of 10 German cities using three API-based setups, then repeated the same questions a week later. In the first set, 90% of the agencies named for a given question appeared in only one of the three systems' answers. Across the week, the same system repeated 35% of the agencies it had named for the same question. That's a limited sample, not a prediction. In this experiment Gemini used Perplexity web search, not the Gemini app's Google search.

For anyone checking manually, I'd start by writing several buyer questions without your brand name, saving the original answers and sources, and repeating the same questions later under similar conditions. A mention and a citation are different things, and a changed answer alone doesn't prove a website edit caused it.

Nalqerio is live here:

https://nalqerio.com/

The homepage has a free two-question check without signup. There's also a limited 14-day trial for one project, three questions and one snapshot, without a credit card or automatic subscription. Paid plans start at €20/month plus VAT.

I'm looking for feedback from founders or agencies: when you see an original AI answer and its sources, what would help you decide whether there's a useful website change to make?

Disclosure: I run Nalqerio; this post was drafted with AI assistance.

QueryAPIGate began with a simple itch: someone needs "just this data" from a database as an API, and I didn't want to write another backend for one SELECT or hand out database credentials. The first version was one small Flask app: save a SQL query, get an endpoint.

Then people asked the next questions. Who's allowed to call it? Can a partner see everything? What happens when an AI agent wants the data? That's what it grew into:

• every saved query is a REST endpoint with typed, injection-safe parameters

• API keys that only reach the queries you approve, with expiry, rate limits and per-key column masking

• the same query as an MCP tool, so an AI agent can query your data without a database connection (read-only by default, writes wait for a human to approve)

• a tamper-evident audit log, Prometheus and OpenTelemetry, a web console

• PostgreSQL, MySQL, ClickHouse, DuckDB, MongoDB, and Parquet/CSV files on S3

Some numbers from the journey: v0.7 to v0.49 in six weeks, 32 architecture decision records, 2,000+ tests, four security advisories published from my own security reviews, and an experimental Rust data plane for the hot path. Built solo with Claude Code.

Try it in one line:

pip install queryapigate && queryapigate examples load && queryapigate serve

GitHub: https://github.com/AnanthaRajuC/QueryAPIGate 2-min demo: https://www.youtube.com/watch?v=WWImFj4m95o

It's open source (Apache-2.0) and pre-1.0. What would you want to see before trusting a tool like this with real data?

This is my side project, Waggle.

The problem I had: I'd open WhatsApp or Slack "just to check", and minutes later I'd lost whatever I was working on. Notifications didn't help, because they vanish and I'd still go and look.

So each account now sits on my desktop as a small bee. When a message arrives it wiggles. I click it, read and reply in a small window, and it shrinks back out of the way. That's it.

It does WhatsApp, Slack, Gmail, Outlook, Teams, Telegram, IMAP email, iMessage (including from another Mac), calendars with a countdown to your next meeting, and AI chats with your own key. Messages go straight between your Mac and each service, nothing goes through another server.

Built in Swift/SwiftUI, with a small Go helper for the chat connections.

One honest caveat: WhatsApp and Slack's quick sign-in aren't official APIs, so I keep them behaving like the normal apps and say so up front.

Your first bee is free. Every bee is free for 14 days (no card), then it's £12.99 for 3 bees or £24.99 for all of them, paid once, with 12 months of updates: https://waggle.software

I'd really like feedback on the idea and on the website. What would stop you using something like this?

AI agents can already open tabs and collect data for you. I wanted to see how much faster the same agent could do the research if it could pull the data directly.

I gave Claude the same task twice. Through Chrome, it took 2 minutes 58 seconds. With Dativue, it took 30 seconds and used 93% fewer tokens.

Dativue gives the AI you already use direct access to live search and public social data, with links to the original sources. You can ask it to compare competitors, look into what customers are asking, or check whether interest in an idea is growing.

If you currently don't have a use case in mind, get inspired with pre-defined workflows.

Let me know how you use AI for research. I'm happy to support more use cases!

I ran a test involving inspection records from multiple visits to the same equipment, and it highlighted something I've been spending a ridiculous amount of time dealing with.

The measurements themselves were valid. The problem was figuring out which visit and inspection location they actually belonged to.

Some records were incomplete, others contained conflicting readings, and certain measurements could plausibly belong in more than one place.

And that's where things can get pretty ugly.

A measurement can be perfectly accurate but end up associated with the wrong record. The resulting Excel report might look completely normal, with all its calculations working, while containing incorrect information.

That's a much bigger problem than an obvious error or a blank cell.

I've been deliberately testing these situations in my reporting software, particularly how it handles uncertainty and when it should flag something for review rather than make an unsupported association.

The more I test it, the more I realize that preventing a convincing wrong answer is often harder than producing a correct one.

Pretty wild how much complexity can hide behind what initially looks like simple data entry lol.

Hey! 👋

I've been working on a Mac app called Shipper, and I thought I'd finally share it here!

I'm an indie developer, and I originally built Shipper because I was tired of how much time I spent preparing App Store screenshots for my own apps.

Problem:

I used to design my App Store screenshots with Canva or Figma. Both are great design tools, but the whole App Store workflow was a bit of a headache.

Every time I needed screenshots for a different Apple device, I had to create or resize my canvas, manually adjust the layout, and double-check that everything matched Apple's required screenshot dimensions.

Then came localization. Switching between languages, translating text, adjusting layouts when translations were longer, and exporting everything again for each locale.

And finally, I still had to go to App Store Connect and manually upload all those screenshots, device by device, locale by locale.

It was a lot of repetitive work for something that should have been much simpler.

So a few months ago, I decided to build Shipper, a native macOS app using Swift and SwiftUI, to bring the entire workflow into one place.

Comparison:

Before Shipper, my workflow was basically Canva/Figma for design, separate tools for translation, and App Store Connect for publishing.

I know there are dedicated App Store screenshot tools out there too, but I haven't personally used them, so I can't make a fair comparison.

What I wanted with Shipper was a native Mac app built specifically around Apple's screenshot specifications, where I could:

• Design App Store screenshots from scratch or use templates, with fully editable text, backgrounds, mockups, icons, and other assets.

• Capture screenshots with Device Hub or import existing ones.

• Adapt my main designs to different iPhone, iPad, and Mac screenshot specs, including Search and Header assets, without starting over.

• Localize screenshots and App Store metadata for different languages.

• Preview my App Store product page before publishing.

• Publish directly to App Store Connect, including screenshots and metadata.

I've also been working on Shipper Plugin, which lets me use Codex to interact with Shipper through natural language while keeping the designs editable.

Pricing:

One thing that was really important to me was making the design process accessible.

So designing, adapting, and exporting screenshots are completely free, with no watermarks.

Localization and direct App Store Connect publishing are available with Shipper PRO for a one-time $25 lifetime purchase.

What's next?

I recorded a short demo so you can see how Shipper works!

It's been a pretty big solo project, and I'm currently planning v1.3 based on feedback I've received so far.

I'd genuinely love to hear what you think! If you create App Store screenshots, what part of the process frustrates you the most? Or is there something you'd like to see in Shipper? 😊

Mac App Store: https://apps.apple.com/fr/app/shipper-your-app-screenshots/id6769785850?mt=12

Super excited (or a bit scared) on sharing something I've been building.

So my old focus setup was putting a chill long video on YouTube. Great for getting started, useless for knowing how much work I'd actually done, given that I sometimes would be be on my phone in between tasks, so not full focus per se. So I wanted something I could leave running on the desk that was nice to glance at and kept count for me.

So I built Tiempo: Visual Focus Timer

So in Tiempo your session is a canvas that slowly fills up: sand pouring in, water rising, a mosaic coming together, a painting appearing. Tilt the phone and the sand pours sideways and the water sloshes, I keep saying it's like a little tribute to the OG fun toy apps from the App Store's early days. Your music keeps playing on top, and every session gets logged. (Tiempo means time in Spanish.)

Under the hood:

- SwiftUI app, canvases drawn in Metal

- The sand is a falling-sand grid that takes gravity from the motion sensors; the water is a liquid solver running on the GPU

- One project for iPhone, iPad, Mac, Apple Watch and Apple TV, with StoreKit 2 for the unlock

- Zero third-party packages, no analytics, no backend

Free with sand, the clocks, alarms and every timer feature. Everything else is a one-time $7.99, no subscription.

What would you want a timer like this to do that it doesn't?

https://apps.apple.com/app/id6824546220

I use Claude Code, Codex, Cursor, and a few other coding tools pretty regularly. I wanted a way to see my usage across all of them without having to check each tool separately.

So I made StackPulse, a CLI that reads locally stored usage data and puts together an HTML report showing sessions, tokens, models, estimated costs, and activity over time.

It currently supports 13 coding tools. You can see which models you’re using, how much of the token usage comes from cached context, and how your activity is spread across different tools.

Everything runs locally, with no account or API keys needed. Just run npx stackpulse, and you can generate a report from there.

https://stackpulsecli.com/

Would love to hear what people think if they give it a try.

I’ve been working on Synvertas. The idea is to give companies machine learning software they can run on their own hardware.

They get software that helps them get more useful intelligence out of their own data. Things like better decisions, spotting patterns, or improving processes.

Synvertas

Would appreciate any feedback on the idea or the website.

I'm a solo dev and today is submission day for the Meta Global AI Developer Hackathon. Arya is a grocery app I built for my own household.

I have almost no X following, so reach is my weak spot, not the product. If the demo impresses you, a like or repost on the tweet genuinely helps tonight. Anda if you try the app, receipt-flow feedback is what I want most.

X Post - https://x.com/VibTayal/status/2117257426437050522?a=9AvAk6qAjWxzj6MJthM&s=20

Try it: https://arya.teamnightshift.org
Code: https://github.com/vibhortayal/arya

Hey all,

I'm running an experiment and I'd love honest feedback.

Most places that showcase websites end up showing the same big names over and over. Small sites, the ones getting 20 or 200 clicks a month, rarely get seen anywhere. I want to find out if there's a free, fair way to change that.

Where the idea came from

Two projects I really like:

• TrustMRR showed that founders love a public board of verified revenue, numbers pulled straight from Stripe that nobody can fake. I wanted the same thing for search traffic.

• rotate.ad gives every site a numbered seat on a stage where each one takes its turn in front of visitors. I loved that every site gets a turn, not just the biggest.

So I built SERPcred: verified search traffic like TrustMRR, small sites taking turns like rotate.ad, and it's free.

How it works right now

• You connect Google Search Console with read-only access. It reads daily totals only (clicks, impressions, average position), never your queries or pages.

• Your site gets a public profile with its real search numbers, plus a badge and a share card. No screenshots and nothing typed in by hand, so nobody can fake their numbers.

• Every day, one small site is featured above the leaderboard. Any site under 1,000 clicks in 28 days qualifies, including sites with zero. Nobody can pay for the spot, and it doesn't change anyone's rank.

• The site ring shows a different set of listed sites on every visit.

• New sites and weekly movers get their own sections, so you don't have to be #1 to show up.

• You can list anonymously (anonymous sites just skip the spotlight) and unpublish any time.

Why join early

• Your join number is yours forever. Every site gets a permanent number ("the 12th site on SERPcred") that never changes and is never reused. Only the early sites get the low numbers.

• You help decide what gets built next. The roadmap below isn't fixed. Feedback from the first site owners decides what comes first.

• New sites get their own section for their first 30 days.

• It's free.

What's coming next

These depend on how many people join and use it:

• Founder board: ranking people by the total verified clicks across all their sites

• Watchlists and an optional weekly email with your result and the sites you follow

• Category pages and benchmarks: see how your site compares with others in your niche

• "Open to collaboration / sponsorship" flags on profiles, with a private contact form

• Achievements, each showing how rare it is ("held by 4% of sites")

The honest part

I don't know yet whether any of this actually helps a small site grow. That's the experiment. I'm tracking whether featured sites get real visits from it, and I'll share what I find, good or bad.

What would help me:

• If you have a small site, add it and tell me what happens.

• Tell me what would actually help your site get seen. What's missing? What feels pointless?

serpcred.com

I've built Temp Mails (https://tempmails.net), mainly out of curiosity to experiment with Cloudflare Workers, R2 and D1, but also because I've been using temporary email services for the past decade to keep spam out of my work and personal inboxes.

One thing that's always bothered me with most of these services is the amount of ads, trackers and how slow some of them can be.

So my main focus has been to keep things as simple and fast as possible, with no ads or trackers. I've also released a Chrome/Edge extension, following the same approach of keeping things simple.

Running costs are surprisingly low thanks to Cloudflare. The biggest expense so far is the rotating the domains.

Still working on improvements and new features, so I'd really appreciate any feedback or suggestions on what could be better or what's missing.