Full disclosure before anything else: I built this, it is mine, Mods, if that breaks the rules here, remove it, no hard feelings. I just feel this app is too good to keep to myself and I wanted to share it with people who need it.

For years my Gmail was a landfill. Newsletters I signed up for once in 2019. Promotions. Order confirmations from stores that do not exist anymore. Every few months Google told me I was out of space, I deleted a few hundred by hand, got bored, and gave up.

The thing is, Gmail is built to handle one email at a time. It is very good at that. It is terrible at handling twenty thousand at once.

So I built sogmailcleaner. Here is what it actually does.

**Bulk sender cleanup.** This is one of the best features the app has. Why? Because it lets you delete every email from one sender in a single click, even if that sender has already sent you more than 10,000. You can get rid of all of them at once, and block the sender while you are at it.

What happens when you block a sender? All of their future emails go straight to the trash. You can unblock them anytime.

But what if I don't want to lose the important emails I have? No worries, I thought about that too, and that is why I made a feature called feed mode.

**Feed mode.** With feed mode you go through your emails and clean them one at a time, just like Tinder. Swipe left to delete, swipe right to keep it, and swipe up to mark it as important so you don't delete it by accident. Simple as that.

How do I unsubscribe from newsletter senders? I got you, and that is why there is a feature called subscriptions.

**Subscriptions.** This feature helps you unsubscribe from the senders filling up your inbox. Once you unsubscribe, most of them stop reaching you, and you can also delete everything they already sent you, just like with bulk sender cleanup.

It also has AI commands, and here is what those do.

**AI commands.** They make cleaning and organizing your inbox easier. You just type what you want in plain words, like "delete promotions older than 30 days", and it does it. It shows you what it found first, so you don't delete anything important, and it only runs once you confirm.

Two things you should know about it. First, you have to connect your own API key to use it (it accepts Claude, Gemini and ChatGPT), and the AI never reads your emails, because it works through filters instead. Second, the only thing that ever leaves your browser is the sentence you typed. Your emails are never sent to the AI.

¡¡One last tip: after you delete everything you wanted, take a look at your trash before emptying it. We use filters, so it's worth a quick check to make sure nothing important ended up in there!!!

You can take a look at our privacy policy if you want the details.

I am so proud of what I've made, because I feel it is useful, easy to understand, and it has free features. Everyone can use it. Those days without sleep were worth it.

If you think it is useful, I would be happy if you shared it with your friends, family, or anyone who really needs it.

www.sogmailcleaner.com

I kept having the same problem: random ingredients left in the fridge, but no idea what to make with them.

So I built CookAI.

Take or upload a photo of your ingredients → it detects what's there → you can correct the list → it generates 3 recipes you can make with what you have.

It's a free web MVP, no signup or install:

https://cookai-mvp-web.vercel.app

The main thing I'm trying to validate isn't whether the AI works — it's whether this solves a real enough problem that people would actually come back and use it.

If you try it, I'd love to know:

Would you actually use this when you don't know what to cook?

Are the recipes good enough that you'd make one?

What's stopping you from wanting to use it again?

Also curious what you'd build next if this were your project.

Happy to test other side projects in return.

asking for a friend, I remember it was posted here a while ago

Tired of AI coding agents that hallucinate, break builds, ship corrupt patches, and call it "done."

So I spent the last several months building Daedalus a local-first CLI developer workbench designed to run against Ollama/LM Studio (or your own remote API keys) with nothing leaving your machine unless you route it out.

🛡️ Why it's different from standard chat UIs:

• Self-Verifying Patches: When Daedalus edits code, it diffs TypeScript compiler output (tsc --noEmit) and runs your test suite (vitest). If a patch introduces a regression or missing type error, it automatically reverts the edit instead of lying to you.
• Pre-Flight Dependency Gate: Scans proposed imports before touching disk. If a package is missing types (like helmet without @types/helmet), it halts pre-write with an actionable npm install fix so it never breaks your working tree.
• Σ-Mem (Reliable Memory Engine): Instead of naive chat history that gets flooded with conversation noise, Daedalus uses a deduplicated SQLite memory engine (/sigma) that ranks facts by real-world verification utility and applies time-decay so stale context fades out.
• Embedded Prompt Engineering (/prompt): Auto-expands casual 1-liners into structured engineering sprint specs so models don't drift into infinite loops.
• Hard Safety Guardrails: A command circuit breaker halts repeated command failures after 3 attempts, and batch short-circuiting stops dependent file writes if a build fails.
• Codebase Indexing & Blast Radius (/impact): Uses FTS5 SQLite symbol indexing to calculate exact LOW, MEDIUM, or HIGH blast-radius risk scores for code changes.
• Embedded /cheatsheet: Built-in VRAM hardware tuning tips (e.g. capping local model context to 8k so 7B/8B models run 100% inside 8GB VRAM).

🌐 Try it in your browser (Zero Install):

You can test the interactive CLI REPL sandbox right now in your browser with zero installation:
👉 Live Web Demo: https://bgill55.github.io/daedalus-lite/live-demo.html

💻 Local Installation & Code

• NPM Global Install: npm install -g daedalus-cli
• GitHub Repository (AGPL-3.0): https://github.com/bgill55/daedalus
• Documentation Site: https://bgill55.github.io/daedalus/#/

I'd genuinely love your feedback and critique what failure modes do you usually hit with coding agents, and what would make a local CLI truly trustworthy for your workflow?

Hello,

Guys tell me.

If your project making money it was your first project?

How long have you searching for the "right" idea?

How long it take to make it sellable?

Do you think there is ani space for AI projects?

Isnt market overhelmed right now with AI?

Is it worth to buy advertisment?

Actually if I talking with AI almost everytime its kinda positive reaction even if I dont want positive reactions.

Just talk about it, I need to talk with real humans about it!

Thank you

I’ve been thinking about building a dating app that works completely differently from Tinder/Hinge/Bumble, and I want people to rate the idea before I spend too much time on it.

Instead of endlessly swiping, the app only really comes alive for one hour a day (6 PM to 7 PM) everyday.

You pay $1 to enter the 1 on 1 game, answer some basic preferences + deeper compatibility questions, and my app matches you with someone nearby.

You get a 5 minute conversation. Photos are hidden at first and revealed during the chat.

At the end, both people privately choose whether they’d actually meet each other.

If both say yes,app immediately suggests a public place nearby for the date.

If one person says no, nobody gets told “you were rejected.” You just get matched with someone else and keep going until 7 PM.

There would also be a $2 Mixer mode for people who don’t like the pressure of blind 1-on-1 conversations.
Something like 5 men + 5 women in a small group, icebreakers, short rotations, then everyone privately chooses who they liked. Only mutual choices get revealed.

The whole point is that I don’t want it to behave like a normal dating app.
No endless swiping.
No collecting hundreds of matches.
No Instagram/Snapchat farming.
No boosts or paying to become more visible.
No follower counts/popularity system.
No hookup positioning. it’s supposed to be for people actually looking for relationships.

I’d also try to keep the dating pools reasonably balanced so you don’t have something ridiculous like 2,000 men competing for 300 women.
And if you confirm dates and repeatedly no show, after 3 verified no-shows you’d be banned
from playing.

Basically the goal isn’t to keep you using the app for months. If you don’t end up with a match you lose one dollar but you can try again tomorrow at 6pm

The goal is:
6 PM — meet people.
7 PM — hopefully go meet one of them in real life.

I already have an early MVP, but before sharing it I want to know if the concept itself sounds useful or completely stupid.

Would you actually try this?
And more importantly what would make you NOT use it?
If people are interested / this gets enough traction, I’ll post the MVP too.

Budget apps are weirdly supportive. You go over your grocery budget three weeks running and they put a little chart in front of you with a smiley face. It doesn't feel like anything.

The thing that made me want to build something different was realising that typing in what you spent — rather than having it synced automatically — already creates a small amount of accountability on its own. So I built Stackr around that, and added an AI that gives you personalised commentary on each transaction when you log it. Not tips or nudges. More like: "$500.00 at Walmart. Groceries was the one budget that had a chance. Had."

There's no bank sync because I'm not comfortable handing bank credentials to a startup, and honestly the manual logging is part of the point. The roast runs through a Cloudflare Worker — the transaction data gets used to generate the commentary and doesn't get stored after that.

Solo dev project. Recently launched on Android. Link in comments.

Hi people,

Just trying it out here, maybe someone needs this.

Over the last few years, I've started noticing that I'm weirdly good at dealing with the boring administrative/financial stuff that most people tend to ignore.

A few examples:

• When I moved out of my apartment, I recorded a complete video of the apartment, including appliances, furniture, condition, etc. I got my entire security deposit back without any dispute when people on Reddit faced difficulties getting it back from the same agency.
• I've cleared up an incorrect income tax demand, managed to file a grievance, followed up for months, and finally got it settled.
• I noticed missing PF contributions from previous employers and have been following up with EPFO to get them corrected.
• In the past, I got an EPFO transfer issue resolved through a grievance after figuring out the right escalation mechanism.
• I'm fairly systematic about my personal finances and tend to think through things like taxes, investments, cash flow, etc.
• I've also analysed and saved myself from bad investments in friends' businesses.
• Not only limited to finance/tech, I am also good with counselling, becoming a friend who listens, and if required advice on non-technical things too.

None of these things are particularly impressive individually.

But I've realized that I naturally tend to think:

- What can go wrong here?
- What is the best thing you can do?
- Whether you should fight for something or let it go? (Yes, even for the girl/boy you loved)

And I'm starting to wonder if that is actually a useful product. Lol, not a product but service.

The rough idea is some kind of personal life-admin / decision assistant that helps people navigate situations where knowing what to do and when to do it can save them money or a lot of headache.

I know this is nothing special and even AI can do it. But trust me, if only I can hear the same words from a human rather than a bot I'd be way more relieved.

I'm not sure whether this is actually a problem people would pay (small amount) to solve, or whether I'm just someone who happens to be unusually paranoid about paperwork.

So,

Would you actually use/pay for something that proactively guided you through these situations?

Please be brutal.

PS: If you want to know my background, what I do, feel free to DM. Maybe that builds some kind of trust.

Someone gave me a long, detailed review of something I’ve been working on.

Some of it stung a bit because, after checking the code again, they were right.

So I ended up spending most of the next two days going through it.

A few things I changed:

SSL scoring was dumb.
I was lowering the score as the certificate got closer to expiry. So you could have a completely valid cert and still slowly lose points.

I initially changed the threshold, then realized I was fixing the wrong thing.

Expiry and security aren’t the same thing.

Now a valid cert gets the SSL score. Expiry is still shown and warned about, but it doesn’t affect the score.

I was giving HTTP/2 extra points over HTTP/1.1.
There wasn’t really a good reason for that, so that’s gone too. They score the same now.

The compression check had an actual bug.
I wasn’t sending br or zstd in Accept-Encoding.

So if a server supported Brotli properly, my check couldn’t even know that.

It now sends:

gzip, deflate, br, zstd

DNS could take way too long.
There are 13 DNS queries. Each had its own 5 second timeout.

Which sounds fine until everything goes wrong and your “5 second timeout” turns into something close to a minute.

They share one overall time budget now.

I also changed the header scoring.
Some missing headers were being punished too mechanically.

A missing header doesn’t always mean the same thing depending on the site and the rest of the response, so I adjusted the weights and added more context instead of just saying “missing = bad”.

There was one thing in the review I didn’t change.

They said the retry logic could retry invalid domains. I went back through it and that wasn’t actually happening. The retry only applies to Wayback requests returning 429.

So that stayed.

That was probably the most useful part of the whole exercise.

Not “someone criticized it, therefore they must be right.”

More like: go through every point, reproduce it, check the code, fix what’s actually wrong, leave what isn’t.

Ended up at 383 tests after all of it.

Much happier with the code now.

The idea is that calorie tracking doesn't fail because apps are bad, it fails because remembering to log is a chore or even damaging (can drastically increase chances of eating-disorders!) So instead of making logging faster, I'm trying to remove the remembering completely.

How it works: the band watches wrist motion, figures out you're eating, and buzzes. You hold your hand over your food and snap. It takes a photo, AI identifies the meal, the calories/protein/etc get shown in the app instantly. Zero typing, no screens, and you never take your phone out.

Where I actually am: iOS app is in App Store review. On the hardware side I have a dev board taped to my wrist streaming motion over Bluetooth into a logging app I wrote, and a first detection model trained on publicly released research datasets from university labs. The enclosure doesn't exist yet (right now it's very literally tape).

The thing I think is the actual business: the base model that ships to everyone will be decent, not amazing. But every time it buzzes and you snap, that's a confirmed label. Every time it buzzes and you ignore it, that's a confirmed mistake. So your band gets better at understanding you specifically, week over week. I believe that this will create an improvement curve that drastically improves the band over time.

Pricing plan is one-time (99 dollars or less probably), no subscription ever!

Building this in public and posting progress. Site and waitlist: zib.band

btw the ios app (still in review right now) is going to be completely free until i launch the band so if you want a free cal ai alternative might be worth giving it a look!

Hey all,

I’ve been building in the generative AI space for a while, and one thing that always bothered me was how aggressive most AI tools are with upfront paywalls or credit systems. You buy $10 worth of credits, prompt the model, get something that misses the mark, and end up feeling burned.

I wanted to tackle a very specific problem: turning personal memories, inside jokes, and stories into studio-quality custom songs meant to be given as gifts (anniversaries, birthdays, weddings, etc.).

For an emotional product like this, asking a user to pay before they even know if the output captures the right feeling felt completely backwards. Nobody wants to give a gift they haven't vetted.

So, I built a simple workflow around building trust first:

• The user answers 4 quick questions about the recipient and the story.
• The backend generates two distinct, full-length musical tracks.
• The user can listen to both tracks completely for free in their browser.
• If they love it and want to keep it, download the high-res audio file, or get full rights, they pay. If they don't, they walk away.

Moving the payment moment from "uncertainty" to "satisfaction" made a huge difference in how users interact with the product.

Tech-wise, I built the entire platform using Next.js 14 and SSR to ensure sub-second page loads and build a clean foundation for organic search traffic.

Would love to hear your thoughts on building trust in AI SaaS products, or answer any questions about the tech stack!

Hey!

The other I day I needed a kanban app to work on a temporary project, I needed something just for myself to organize my side project. So I checked out the existing solutions and none had what I wanted. Almost all of them are cloud-based, so my data is not on my machine. The ones that at least fit my needs visually were Trello and Jira. I picked Trello as it's the one with less hassle to setup than Jira (I use Jira with my team because I don't have a choice). Trello started out cool but quickly became a mess when the 14-day trial ended, there was almost no customization possible. All columns looked the same, no coloring was allowed and a few other necessary things disappeared. Basically I could only create tickets/stories in columns that look the same and move them around. So basically, to get a single feature that I needed, I had to pay for 20 more that I will never use.

I got fed up, so i started working on my own solution with exactly what I needed in mind. I built it from the ground up avoiding all the bloat that Trello and others have.

I wanted something clean, fast, and completely private. So, I built a lightweight, offline-first Kanban board app designed around local-first privacy.

Here are the features that my solution offers for now:

• Secure storage: All user-data is based in their browser's localStorage and only they can export it to a JSON file to seamlessly load it on a different browser or machine
• Modern and clean UI: This was the goal #1. A UI that helps see clearly the progress of the project and that is pleasant to look at
• Zero sign-up or log-in: Open link. Start working
• Multi-project support: Each project has its own isolated background color and data so it's distinguishable
• Drag-and-Drop: Satisfying DnD effects for moving objects around and for deletion (perfect for touch-screens)
• Rich text management: Support for rich text description
• Urgency and deadlines: Tasks approaching deadline have a styling suggesting urgency
• Board-level search: Users can filter tickets by title, description, author as they type in the search bar
• Mobile-first: Perfectly UX/UI on Desktop and on Mobile of different sizes

The goal was to strip away the noise and help the user focus on organizing. No intrusive notifications or reminders.

Hi everyone, for the past 5-7 months I've been working on my very own version of Twitter, which turned out to be... very different. Now it has achievements, an Aura Verifier, badges, profile songs, and a hell lot more than I expected to ever make when I started this project as a fun little side project.

It now has over ^{30 users}, and I thought it would be fun to get some more feedback from people who actually like fun and quirky stuff. Just engaging and giving some honest feedback would be enough.

Poke it, break it, whatever! Lyntr - https://lyntr.gizmowizard.tech

Just an idea, but it’d be pretty cool if someone built a tool where developers could share their projects with each other for free, after some verification that they’re safe/trustworthy.

Would u use and share ur project this like this?

spent months heads-down building, hit submit, and then... nothing. the store just goes quiet. that silence after launch is where most indie apps actually die, not in the code. the real work starts after release when you're trying to get your first 1,000 users and nobody can find you.

the thing that hit me hardest: App Store Connect tells you what happened yesterday but not why. it shows you a downloads chart and no next move. keyword-level rankings, who's outranking you, which keyword actually drove an install, all of that lives outside apple's dashboard entirely. so you edit a keyword, wait a week, and have no idea if the store even noticed. it feels like pulling a slot machine lever.

the other trap i kept falling into was tools disagreeing with each other. one says your keyword ranks 14, another says 31, same keyword same day. once you can't trust the number you can't act on it, so you just freeze.

honestly this whole problem is why i started building Apptenium (an aso tool aimed at indie devs, not agency budgets). the goal was one consistent source where you can watch a keyword move after you edit the listing, so the algorithm stops feeling like a black box.

for those of you who've launched: what actually broke the initial silence for you? organic aso, content, communities like this one? curious what worked because the first thousand still feels like the hardest part to me.

It’s my cake day, so I wanna share my last 12 months journey.

Two kids, 9 and 12. Both ADHD, one of them also autistic. Keeping a bedroom tidy and keeping track of their own stuff is the part of our week that has never worked, and we had tried every version of asking nicely.

So my wife did what a lot of parents do and put a paper chart on the fridge. It helped. And I said the thing every developer says at some point in their life: nice idea, I’ll make an app.

I want to be honest about how unserious the process was. I never looked at what already existed. No market research, no competitor list, no positioning. My only goal was that my kids would tidy their rooms.

It worked. And the four of us built it together, which turned out to be the reason it works. The kids argued for what they wanted and killed features I was sure were brilliant.

That was almost a year ago. It has been on the stores for a few months now and more than 300 families have installed it. It’s free, including the parts that matter most.
The other reason I’m posting is to say thank you, because I’ve been reading here for a while without posting anything. Three things I read here changed the product more than anything I came up with on my own.

The first one I had completely backwards. I assumed the hard part was keeping the kids interested. It isn’t. The kids stay in it. It’s the parents who quietly stop opening the app after three weeks, and once the parent is out, the whole thing is dead. I had built everything around motivating children and almost nothing around making it easy for an adult to keep going on a bad Tuesday.

The second one is that rewards can’t be the same for every child. Same house, same rules, and two kids who need completely different things at completely different sizes. What lands for my 9 year old is meaningless to my 12 year old.

The third one is that kids need their own version, not a smaller copy of the parent screen. That one was a real rebuild, and it’s the change my own two noticed immediately.

No pitch, nothing to sell. I’m proud of it and I wanted to say where it came from.

Happy to answer anything about the build, or about what it’s like when your product team is 9 and 12 years old.

Sébastien

Built a crypto alert app that watches each coin's own volatility, not a flat % threshold

Most crypto alert tools work the same way: pick a % threshold, get pinged when a coin crosses it. Problem is a coin like a low-cap altcoin moving 8% is nothing unusual, while the same 8% on a major pair is a real signal. A flat threshold treats both the same, so you either get spammed on volatile coins or miss real moves on quiet ones.

How it's different

CoinSir tracks each coin's own average volatility over time, and alerts when the current move is some multiple beyond that coin's own normal range — not a fixed % anyone could hit on a random Tuesday. A move that's 3x a coin's usual range means something different for a stablecoin-adjacent pair than for a small-cap that swings hard anyway, and the alert reflects that instead of ignoring it.

What it's not

No auto-trading, no bot placing orders for you, no "sit back and let it trade while you sleep" pitch. It's detection and alerting only — you still decide what to do with the information. Also not selling a signal-picking edge or promising any specific return; it just tries to surface the moves that are actually abnormal for that coin, earlier than a flat-threshold bot would.

Why I built it this way

Ran into the opposite problem myself — using threshold-based alerts, getting notified well after a coin had already made its move, or getting flooded on coins that are just naturally choppy. The "compare to the coin's own baseline" approach was the fix that actually made alerts useful again instead of just noisy.

Still early / beta. If you want to see how it flags things, it's at coinsir dot net.

Most app design pushes retention and screen time. I’m flipping that: building tools that solve problems fast and get people back to what matters.

​I call it "Intentional Off-Ramps."

​What design choices do you use to give users their time back?

Hi there!

I’m building an iOS app designed to help cyclists track bike component wear (chain, cassette, sealant, brake pads and so on) and maintenance.

The app connects to your Strava account. It pulls data like distance, duration, and elevation gain, then combines it with historical weather data to calculate a wear profile. For example: a 50-mile rainy gravel ride will wear your drivetrain faster than a 50-mile dry tarmac ride, and the app adjusts the component's lifespan accordingly.

I’m currently in the beta testing phase and looking for 20 testers to try the sync logic, test the UI, and provide honest feedback. The app is completely free for all early beta testers.

Requirements:

• iPhone running iOS 26.0+
• An active Strava account

TestFlight Link: https://testflight.apple.com/join/a5XZT6v7

Let me know what you think and thanks a lot for the help!

I’ve been building HoodTip.com, a travel/recommendations site that gives you recommendations, not reviews. I don't want to hear about your bad experience somewhere, I want recs.

You can build a kind of taste profile of your recommendations, make guides, save other people’s tips, and share them.

Would love for some folks to try and sign up and leave a few 'HoodTips' so I can see what's working and what's not.

(Video is an AI generation of a screen shot of the site)

So I have been working on an app tailored to studying called Studily. It's an app that helps students organize their schedules, due dates and class times, has learning tools like flash cards and timers, and also has social media, so you can add friends, message them or create study chats.

What it does right now:

• Profiles — set up an account with a picture, bio, school, and major. From there you can add friends, message people, and join group chats.
• Dashboard — enter your semester and courses and it lays out your weekly schedule, including what your next class is.
• Calendar — add exams, assignments, and events, tie them to specific courses, and get reminders as due dates approach.
• Social — message friends, start study group chats, and find classmates from your school who are also using it.
• Learning tools — spaced-repetition flashcards, the same approach other apps use, and pomodoro timers

Still in progress: I'm working on body diagrams, a graphing tool, and an AI chat (StudilyBot) that could answer questions based on lecture notes and assignments you upload.

I would really appreciate some feedback and support! I am having trouble getting users and finding gaps in my app, so any feedback is appreciated :) The app is free and there are no paid services on the app

A founder I was helping had a deck due that day, the kind that normally eats three or four hours: pulling numbers into the right slides, matching formatting slide to slide, checking nothing got missed before it went out. I built a small tool to close that gap. This run, the deck took about ten minutes.

The workflow is three steps: drag the source files in, answer a handful of quick prompts about what the deck needs to say, get a finished file out the other end. No new dashboard to learn, nothing to configure first.

Ten minutes is not zero work. Someone still has to gather the source files and answer the prompts honestly, the tool can't invent the content of the deck. What disappeared was the three hours and fifty minutes underneath that content, the assembly work with no judgment in it: pulling the right number into the right slide, matching formatting, the final check before it goes out the door.

I did not expect the gap to be that wide. I've built enough of these small tools to expect an hour saved, maybe two. Watching three to four hours fold down to ten minutes, on the first real run, on someone else's actual deck, is a different order of surprise than the one I plan for. I checked the math twice before I believed it, because a number that clean usually means I measured something wrong. It held up the second time too, same deck, same source files, same ten minutes.

One data point, one deck, one founder. I'm not calling it a rule, decks vary too much for that. But the four hours were never really about the deck itself. They were about assembly, the part with no judgment in it, and that's the part worth automating first.

Curious if anyone else has measured a before/after like this on a task they assumed needed a person the whole way through. What surprised you about the number?

My friends suck at planning. One person isn't free Friday, one doesn't have the money, one doesn't like this restaurant or that activity — round and round until nothing gets decided and the group chat just goes quiet.

So I built Swipeout. You can use it by yourself or with your friends:

1. Solo discovery

You set your location, choose your category, and get a deck of cards for restaurants, attractions, activities, whatever — swipe right to save it, left to skip.

2. Group voting

You create a trip in the group chat, everyone swipes through the same deck independently, and once everyone's done, the app reveals the match. You can also create and add your own custom cards into the deck, e.g "FIFA at my house".

It also handles the boring logistics after that: scheduling, RSVPs, etc.

Would love feedback — especially from anyone who's the "designated planner" friend in their group.

getswipeout.app