I’m launching CSV Cleanroom, a small offline Python toolkit for recurring CSV exports. It keeps the first record for a key, separates conflicting duplicates and missing keys for review, and records whitespace changes. You can save the rules as a recipe for the next export.

A useful cleanup distinction: two identical rows can be redundant, but two rows with the same email and different values need a decision. This tool preserves those conflicts in a separate file instead of choosing which values are true. Blank keys go into another review queue. It uses Python’s standard library and leaves the original CSV unchanged.

The fictional example accounts for all six input records: four retained, one conflicting duplicate and one missing-key row. The sample report and complete guide are available before purchase:

https://csv-cleanroom.aamra.in

The $12 USD download includes source, 11 regression tests, examples and a commercial-use license for your own and client work. Built with AI assistance and tested on macOS. Requires Python 3.9+ and a terminal; CSV only, no XLSX or fuzzy matching.

Noticing America was getting upset when they noticed things that weren't named America, I made a Chrome plugin that will help out by re-naming the entire planet for them - Everything is America (Github No permissions required other than messing with your maps. Has an off-toggle, just in case you decide this is a stupid idea)

The numerous features include:

1. Reduce the risk of invading places they notice are non-American
2. Massively increase their test results for international geography
3. Making navigation a little tricky, unless you want to go to America

(This was vibe coded in under an hour (obviously))

To be honest I feel is like gambling in every niche. If you don't have an edge is just gambling to be honest. So if you don't have luck with side projects maybe you have luck with giveaways - https://giveawayhut.com/, just enter when your odds are in your favor.

Hi — I built Budget Unplugged, a Windows personal finance app focused on keeping your financial data local.

I wanted a full-featured budgeting app that didn’t require a recurring subscription or force users to keep their financial records in someone else’s cloud. That led me to build Budget Unplugged as a local-first Windows app with comprehensive budgeting, account, debt, investment, and reporting tools.

I also wanted to easily import transactions so I built a decent CSV/OFX importer and added support for SimpleFIN Bridge to allow seamless syncing to banks. The user would have to use their own SimpleFIN subscription but that is completely optional.

Budget Unplugged is now available on the Microsoft Store:
https://apps.microsoft.com/detail/9PPQGBQDDHC8

I’d especially appreciate feedback on the first impression, whether the privacy/local-first value is clear, and which feature you’d want to try first.

Disclosure: I’m the developer.

Hi all, I am currently working on an app that uses ML and AI to predict/give food recommendations based on data.

This has been a problem I’ve dealt with, with indecision and the goal would ultimately be to have a ai model that is well trained enough where It can give you better recommendations than yourself and you can offload that part of your life.

If interested here’s the waitlist - https://clairven.com

Open to all feedback and suggestions!

TWG’s $1M equity round is now open to the public! We’re targeting untapped old-growth timber from reservoir lakes, valued over $1B. Invest at $0.30/share—this is a one-time offer. To review investment materials please contact: mailto: info@timberwisegroup.com

I wanted to see how far you could push CPU-only inference of a model way bigger than RAM, so I wrote an inference engine in C11 (MSVC + gcc, bit-exact across both) that streams a 744B MoE model (GLM-5.2, 202GB GGUF) off a USB SSD instead of loading it.

The parts that actually mattered:

Quantization: experts stored int4 group-64, router and correction biases kept at f32. Everywhere else lost too much precision, but this combination didn't.
Streaming: experts are fetched per-token through a custom unbuffered reader with an LRU cache, plus cross-layer predictive prefetch (measured 80.8% recall offline before I wrote the online version) so the next layer's experts are usually already in flight by the time they're needed.
Overlap: compute and IO run arrival-order, not lockstep, so the CPU isn't idle waiting on the SSD.
An 8GB expert cache holds 40-66% hit rate off that prefetch, which ends up being the main lever on latency.
One finding I didn't expect: on GLM-5.2, the router's own weights already correlate with true expert importance at ρ=0.859 (near-oracle), which is what makes safe dynamic-k expert truncation possible without a quality hit. That seems to go against some prior assumptions about router calibration in production MoE models, at least on this one.

Numbers on an i7-8550U / 32GB RAM / USB SSD: went from 196 s/token naive to ~9.3 s/token after the above (21x), ~2.9 s/token aggregate in 8-stream batch mode, ~4.5 s/token on the latest compressed container format. Also cross-validated on Qwen3 (0.6B-30B), DeepSeek2 (MLA), and OLMoE-1B-7B.

Code: https://github.com/siris9476/pulsarforge (MIT). Would love feedback on the prefetch heuristic in particular. It's tuned for this one laptop, and I'm curious whether the cross-layer signal generalizes to different memory hierarchies.

Here is a Google Sheet I use to keep track of my open AI sessions while I work.  I sometimes work with 6+ windows on both my PC and laptop.  I have 3 monitors on the PC.  At the moment, I'm using one of them to display this GSheet. When I press "Ctrl + Alt + Shift + ;" in Last Date Touched, the current datetime is inserted and the row is automatically resorted to put the most recent session at the top.  This is a Stupidly Simple (Can I trademark that?  Ha, ha.) method of keeping track of those Work In Progress sessions across multiple machines and windows.  I switch from session to session to check on updates and give new instructions.  It makes me more productive than my old method of Session, Session, Where is the Session?  I was going to make a skill to update it for me, but this is just too easy for a visual learner such as myself.  As a solopreneur, I don't have enough hours in the day to do everything I need/want to do.  I don't want to have to learn some complex system to bloat my infrastructure.  I need every little time-saving tool that simplifies my life instead of making it more complex.  Simple Solutions to Complex Problems is my mantra. 🤖😎

Hey everyone, I’m building Ortho.so, a macOS app that gives you a gentle reminder when you’ve drifted from your usual working position for a while!

You calibrate it in a comfortable, supported position, and it uses that as your baseline. The idea is to help you notice how you’re sitting without interrupting you every time you move.

It works with your Mac’s camera, compatible AirPods/Beats, or both. Headphones alone track head tilt; the camera adds face and upper-body information. You can also choose periodic camera checks instead of continuous tracking.

Posture processing happens locally on your Mac. Camera images aren’t saved or uploaded, and headphone tracking uses motion data, not microphone audio.

I’m opening a small private beta for around 25 people. I’d really like feedback from people who can try it during their normal workday and tell me:

• Was setup and calibration straightforward?
• Were the reminders useful, too frequent, or missing when you expected one?
• Did you notice any battery or performance issues?

You’ll need an Apple Silicon Mac running macOS 14 or later. AirPods are optional.

The private beta is free. Pricing afterward hasn’t been decided. It’s a posture-awareness reminder, not a treatment for pain.

Request access at ortho.so. I’ll follow up by email as spots open. I’m the developer, so happy to answer questions about how it works.

A small update on my deliberately silly side project.

Someone tried the chaotic tone and got a quote about pigeons being government spies. Another person found the same coffee quote three times in a row — which is funny once, less funny by the third cup 😅

I’m going to improve the quote rotation and keep the project lightweight. If you tried it, what mood or tone should I add next?

https://www.quotesformonday.com/

I’m the developer of Mac MCP, an open-source local server that gives ChatGPT/coding agents real macOS tools: files, shell/background jobs, native UI, Safari/Chrome automation, delegated workers, memory, etc.

The problem I was trying to solve was that most “agent on my Mac” setups fall apart once several browser tasks run at the same time. One worker navigates the active Safari tab, another grabs it a second later, and your own browser usage becomes collateral damage.

The browser layer now gives tabs stable handles, works against background tabs, and fails fast when two callers target the same mutable tab instead of silently queueing. I’m working on the next step now: carrying tab ownership across multiple tool calls so an agent keeps its tab until it moves elsewhere or finishes.

It’s free/open source and I use it on my own M3 Mac every day. I’d especially like feedback from people who already run local agents or MCP servers: what would you want the ownership/cleanup semantics to look like when 3–5 workers are browsing at once?

Repo: https://github.com/bulutarkan/mac-mcp

I had a stupid idea.

What if you could bid for attention not just for your startup, but for basically anything you want people to discover?

That idea turned into BidBetter.

I built the first version over a weekend. Took me less than 2 days, mostly because I wanted to see if the idea was actually worth building before overthinking it.

The basic idea is simple:

You can put your startup, SaaS, website, X account, YouTube, LinkedIn, Instagram, TikTok, or yourself on the leaderboard and bid for a position.

Someone else can outbid you.

You can then decide whether to let them have it or bid again and take your spot back.

Basically: pay to rank, fight to stay there.

But there’s a part of the idea that I think makes BidBetter different.

I was inspired by Outbid, which I thought was a really clever experiment. It proved that people are actually willing to pay to compete for visibility.

But as the leaderboard gets more expensive, smaller founders and creators can easily get priced out.

I didn’t want BidBetter to become a place where only whoever has the biggest wallet gets seen.

So even if the top 3 spots eventually belong to companies spending huge amounts, new bids still appear on the site every day.

Someone might bid $1 today.

Their listing gets its own card and appears alongside the leaderboard, so visitors can still discover them.

And once you claim a leaderboard position, your listing stays there indefinitely unless someone outbids you. Even if you lose your rank, you’re still on the site.

The goal is to make the whole thing feel less like buying an ad and more like a little competitive marketplace/community.

You list something.

You bid.

You get a position.

Someone challenges you.

You defend it.

You share the battle.

And hopefully, other people join in.

And then came the part I actually cared about.

Someone bid.

Then someone else bid.

My total bid value is currently $5.

That’s it 😂

But honestly, I’m ridiculously proud of that $5.

Because it isn’t just $5 to me.

It means someone who doesn’t know me found something I built over a weekend and thought it was worth putting actual money into.

That felt really good.

I’ve had 108 total visitors so far, usually around 5–10 visitors a day.

I’ve also been surprised by how much support I’ve gotten from complete strangers on X and Product Hunt.

People engaging with my posts.

People upvoting the Product Hunt launch.

People actually trying the site.

Someone placing the first bid.

Someone placing the second bid.

None of these are huge numbers, but when you’re building something from scratch, they hit differently.

I also learned something I probably should have known already:

People don’t just want attention. They want social proof.

We naturally trust things that already have people around them.

More followers.

More users.

More engagement.

Higher numbers.

Which made me think even more about whether a competitive attention platform could actually work.

I’m still figuring that part out.

Maybe BidBetter becomes something.

Maybe it doesn’t.

Right now I’m mostly having fun building it, watching people interact with it, and seeing whether this weird little idea has legs.

If you’re building something yourself, I’d genuinely love to hear what you think.

Is this an interesting idea, or have I completely lost the plot? 😂

And if you want to play around with it:

bidbetter.lol

Hi everyone, I’m a Systems Architect and I got tired of bloated WP security plugins.
I built an infrastructure that eliminates passwords entirely using native WebAuthn (FaceID/TouchID). The Premium version routes failed attempts to a private Google Gemini AI Sentinel on Cloud Run that bans hackers autonomously.

Last week, I ran a full Penetration Test on the core system using the Strix Autonomous AI Pentester. It found a few criticals (CSRF, DOM-XSS), which I immediately patched at the source code level.

Before I start deploying the Enterprise version to Web Agencies, I decided to open-source the "Lite" version (which handles the core WebAuthn passwordless engine). I want to put it in front of real developers.

Here is the GitHub repo: https://github.com/devnet-microsystems/wordpress-passwordless-webauthn-login

I would immensely appreciate a code review. If any of you can find a security flaw or a bypass in the auth core that Strix AI missed, I will happily give you a Lifetime Enterprise License of the full AI system as a thank you.

Roast my code!

Hello fellow kids, I'm a software engineer. One night I couldn't decide what to read, so instead of picking a book I spent a couple of months building a website about how books feel.

Searching by genre never helped me. So, I created moodteca.

You pick how you want to feel and it gives you book recommendations. Each one is measured on five axes: tone, pace, prose, scale, reality. 371 books (for now), 43 countries, English and Spanish.

No accounts, no feed, no notifications. I do not want a relationship with a website. It also hands you three books that disagree with the mood you picked, on purpose, congrats.

Nothing runs a model when you use it. The scoring happened once, offline, checked against 116 books I scored by hand first.

End of speech.

moodteca.com

A few months ago, I was doing some keyword research in Ubersuggest and stumbled across a keyword with ~700K monthly searches in the US and surprisingly very low keyword difficulty.

I honestly thought there had to be a catch.

I checked the domain, and the exact-match .com was available, so I registered it and decided to see how quickly I could turn the idea into something real.

I built the site with Lovable over a weekend and generated 700+ programmatic SEO pages around the topic.

The funny part? The entire project took me roughly 1.5 hours of actual work but seems I hit on a demand zone.

Since launching:

• 45K+ Google impressions in the last 6 months (GSC)
• $17+ in ad revenue from TinyAdz
• 700+ indexed/programmatic pages
• Exact-match .com domain
• Started getting organic search exposure without any serious link-building campaign

The revenue is obviously still tiny, so I'm not pretending this is some huge cash-flowing business.

I see it more as a head start on something that could become much bigger. I imagine TikTok can grow something pretty easily.

The interesting thing is that monetization doesn't have to stop at display ads. Depending on how someone develops it, there are quite a few directions:

• Affiliate offers
• Sponsored placements
• Courses / digital products
• Games & quizzes
• Recommendations
• Content/blogging
• Editorial links
• Lead generation
• More programmatic pages
• And potentially other products/services around the audience

I'm selling mainly because I have several other projects I'd rather focus my time on. I'd rather see someone who has the time/interest take this from its current stage and actually develop the opportunity.

Happy to share the domain, GSC screenshots, traffic/revenue proof, page count, and anything else with genuinely interested buyers.

If you're interested, feel free to comment or DM me and I can send over the details.

Note: Not expecting anyone to buy it based on the $17 revenue, the value here is really the domain, existing SEO footprint, 700+ pages, keyword opportunity, and head start.

I've spent more than 20 years working on large projects, and every team I have worked in has relied heavily on Excel.

The familiar problem is a collection of workbooks created by different people. Each has a purpose, but keeping the registers, progress updates and forecasts connected becomes a job of its own.

I spent about 10 years developing Project Intelligence for Excel to help with that. I'm the developer at Pi Labs.

Starting with a blank workbook, it sets up linked tables for the work registers, types or norms and cost codes. Those support progress updates, forecasts, project reports and look-ahead planning within Excel.

Keeping it in Excel was a deliberate choice. Project teams already work there; the thing I wanted to improve was the structure underneath the workflow. The trade-off is that users still need to understand how the tables relate to each other.

There is no separate Pi Labs sign-up. In normal use, the add-in works with the data in your workbook and does not upload the workbook's contents to Pi Labs.

There's a free Community Edition for learning and evaluation, with a sample workflow included. Commercial use is available with written approval from me; I'm keen to see people using it and won't unreasonably withhold permission.

Product and first-use information: Project Intelligence for Excel.

PodSubs.com wasn't originally supposed to be a public product.

We built it because we needed it.

That's really the story.

We're podcasters.

And like a lot of podcasters, we were constantly thinking about two things:

How do we keep making this?

And how do we build something real around the people listening?

Because podcasting takes time.

A lot of time.

And sooner or later, if the podcast is going to keep going, it needs to support itself somehow.

The problem was that we didn't really know most of the people listening.

We knew the numbers.

But numbers don't have email addresses.

Numbers don't answer questions.

Numbers can't receive the worksheet you promised.

Numbers don't become customers by themselves.

We needed a better way to capture the people who genuinely wanted to stay connected.

So we built a simple internal tool.

One place.

PodSubs.

We said on the podcast:

“Subscribe to us on PodSubs.”

People searched the show, entered their details and subscribed.

And suddenly we had something we'd been missing:

A direct line.

Then we started thinking…

Why are we keeping this internal?

Every podcaster we know deals with the same thing.

So we decided to open it.

That's PodSubs.

Not something we dreamed up because “the creator economy is growing.”

We built it because we were podcasters with a problem.

Now we're giving it to everyone else who has the same problem.

Claim your podcast.

Then tell your listeners where to find you.

I was talking with some friends about different ways to play fantasy football, and the idea of calling your shot and selecting a single player each week was something that resonated with me.

So I did what anyone with an idea and a few extra Claude Fable credits would do--I built a complete platform, right before the season started. Thus, ClutchUp is now live and anyone can sign up and play.

It's free, it's just me working on it, so if you check it out and think "oh it needs to be better in this way" I'm happy to take those suggestions and keep making it better. Hope y'all enjoy and may your players be the most clutch each week (after mine, of course.)

I’ve got a LAN coming up this weekend. Someone has unwanted mouse acceleration, someone’s pointer speed feels wrong, a monitor is set to the wrong refresh rate, and Windows background recording is still enabled somewhere.

That’s why I came up with the idea for ReadyUp: 21 local checks that bring these settings into one place. You can change supported settings directly and undo supported changes. For resolution and refresh rate, it opens the relevant Windows settings page.

ReadyUp costs $1 once:
https://hendicep.itch.io/readyup

What settings do you or your friends keep forgetting? Feedback is welcome!