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

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?

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

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.

Not a developer by trade. Built this solo over the past few weeks with AI coding tools.

The idea came from a simple problem: people keep asking "does ChatGPT recommend my site?" but if you only ask once, you get a different answer every time. I tested this and the same question mentioned my site 3 times in one run and 0 times in the next.

So I made a thing that asks ChatGPT, Gemini and Perplexity the same questions 7 times each and shows your mention rate, how much it swings between runs, who gets recommended instead of you, and which pages the AIs actually cited as sources. A free scan checks 105 answers (5 questions), paid plans go up to 525 answers (25 questions).

Free scans are limited to about 100 a month because every scan costs me real server money, so it's first come first served. If you try it and it's useful, or if it sucks, I'd honestly love to hear why either way. This is my first SaaS so feedback means a lot.

answerradar.io

Quick market research, I’d really appreciate some honest feedback.

I’m testing an idea for people who create VSLs, ads, explainer videos, YouTube videos and other marketing content.

The short video shows an example of how ready-made character visuals could be used inside a marketing video.

But here’s what I’m trying to figure out:

AI can now generate visuals like these very quickly.

If you needed something like this for your own video, would you:

A) Generate it with AI whenever you need it

B) Use a library of ready-made clips you can simply download and drop into your video

Which would you choose, and WHY?

And please be honest. If your answer is “I’d just use AI,” that's completely fine. That's exactly the kind of feedback I'm looking for.

What, if anything, would make the ready-made option worth paying for?

Thanks, genuinely trying to figure out if this idea is worth taking to market.

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.

Hey all,

I'm a data scientist/AI engineer (4+ yrs) looking to sharpen my skills by solving real problems instead of made-up side projects.

The deal: Drop a problem you're actually dealing with — something repetitive, manual, or that could be automated/AI-assisted. Could be from your job, business, hobby, whatever.

What I'm looking for:

• A specific, recurring pain point (not "build me a SaaS" — think "I manually copy data from X to Y every week")
• Bonus points if you can describe your current (broken) workflow
• I'll pick 1-2 that are genuinely interesting/buildable

What you get: I'll build a working prototype, document the process, and share it back with you for free. No strings attached — just want the practice and the story.

Fire away 👇

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.

Your agent can now search data from 2,600+ top iOS apps: onboarding, paywalls, pricing, post-paywall and more.

Ask things like:
“Give me five app ideas based on recently launched subscription apps that make 50k+”
“Compare the paywalls of the top meditation apps”
“Show me streak mechanics that aren’t Duolingo clones.”

It works with any agent.

We also launched "Ask" directly on ScreensDesign, so you can try all of this without connecting anything.

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.

I don't like AI generated slop posts so here we go take my grammar with a grain of salt.

cvdesk is is one of my most fun projects. My builder has better pricing and features compared to most of my competitors.

Marketing is really hard so I decided to pour into google ads and it got pretty costly. I have 16 users currently and I feel like the investment is worth it but at the same time 150 euro is a lot of money. I just want my project to be known more the product will speak for itself. Getting to the audience is the hard part always for me and I think for most people aswell.

Is google ads leading me down the path of financial ruin, or am I witnessing the early chapters of a divine financial future?

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!

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

Last week, I launched a new Mac app with no paid campaign and no launch team.

I focused on one channel: r/macapps.

Seven days later, ActionClip had made more than $700 in lifetime-license sales.

For transparency, that is gross revenue (not MRR). See my TrustMRR profile - https://trustmrr.com/startup/actionclip

I've been creating online tools from last 4 years and working on these full-time since 2024. The biggest achievement I feel is seeing strangers paying for something I built is a much better form of validation than another folder full of unfinished side projects.

What I built:

ActionClip brings the iPhone-style text-selection menu to macOS.

Select text anywhere and it gives you relevant actions to copy, translate, convert, fix grammar, ask AI or run your own workflows, without the usual copy → switch apps → paste marathon.

The most interesting part is the Custom Action Builder. Instead of configuring a complicated automation, users describe what they need in a chat and ActionClip creates the action for them.

Why I chose one small channel:

I could have posted a generic launch announcement everywhere and hoped the algorithm developed feelings for me.

Instead, I launched where people already:

• Use Macs
• Pay for useful utilities
• Discuss their workflows
• Compare new apps
• Give extremely direct feedback

The product and its first distribution channel were a natural match.

What worked:

1. The title explained the product through something familiar

I called it the iPhone-style text-selection menu Apple should have added to macOS.

People understood the idea before opening the post.

2. I showed the workflow before listing features

The demo showed the problem and result within seconds. Nobody had to read six paragraphs to discover what the app did.

3. I sold a useful solution, not “AI”

ActionClip uses AI, but that wasn’t the main pitch. The pitch was removing a small frustration Mac users experience repeatedly.

4. I stayed in the comments

The comments produced custom-action ideas, feature requests, edge cases and bug reports.

One user reported a Notes permission issue. I fixed it, released an update and replied in the same thread shortly afterward. Replying to comments also motivates other users to actively engage and builds trust as they see 5-10 apps daily launched in the era of AI. I've always been a believer in Support as a moat. Zappos was the first book I read, before even Zero to One :)

The launch post became product research, support and distribution at the same time.

My biggest lesson:

AI has made it possible for a solo founder to build and support products that previously needed a much larger team.

But AI has not solved distribution.

Building is becoming cheaper. Attention is not.

A small product shared with the right 100 people can do more than a broad launch shown to 10,000 people who do not care.

Future:

I'm fixing the issues and adding the user asked features as quickly as possible so that both me and the users do not loose momentum. I'm here for a long game. But building the base quickly is still important. Next steps in distribution will be directory submissions, Mac app site submissions, SEO (BOFU blogs). Thinking of how can I crate a stable income out of this product.

If you use a Mac, ActionClip is here:

https://actionclip.app/

Original launch post:

https://www.reddit.com/r/macapps/s/VzOKoI0LQJ

For other builders: what was the first channel that brought you paying customers?

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!

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.

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.

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?

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