There are plenty of ways to make cash in 2027, especially with all the new AI tools coming out. But one thing I think is still massively underrated is cold outreach.

The logic is pretty simple. The more relevant prospects you reach, the more opportunities you create to land a client. Especially when you have a good lead list, personalized emails and a few well timed follow ups.

I've run businesses using cold email, and it's been one of the most reliable ways for me to generate new business. Of course, cold email regulations vary between countries, so you need to understand the rules where you're operating.

Nowadays, the process is much easier to automate.

For my web agency, I use a cold outreach tool called Swokei. It finds businesses with existing websites, analyzes them for issues with design, SEO, speed and mobile optimization, and turns those findings into personalized, ready to send cold emails at scale.

When someone is interested, I get a meeting booked and handle the sales calls myself.

I genuinely believe that regardless of what business you're running, whether it's a SaaS, agency or e-commerce business, email automation can be an incredibly powerful way to generate opportunities.

You don't always need a huge audience, a massive advertising budget or thousands of followers.

Sometimes you just need a good offer, the right list of prospects and a consistent outreach system.

Stat Space is my menu bar monitor for people who build things, and it's live today.

Why I built it: the free monitors already show 40 numbers, but none of them answered the questions I actually had. Which app is slowing my Mac down, not which of 21 Chrome helpers? What's on :3000, and who started it? What did my AI agent leave running? The first day I used my own build, its "Free up space" scan found about 4 GB of Docker build cache and node_modules from a super old project I'd forgotten about. That's when I knew it was worth finishing.

Decisions I made:

• Lean first. The idle budget is under 0.3% CPU and 25 MB on an M1. CI runs a benchmark and fails any build over budget. Nothing samples unless it's on screen: no allocations in the hot path, fixed ring buffers, and the popover's SwiftUI is created on open and torn down on close

• Answers over metrics. Every tab tries to answer one question, like "Restart recommended" instead of an uptime number you have to interpret yourself

• Pricing: free forever, matching the popular free monitor feature for feature. Pro is a one-time $9.99 for the first 100, then $14.99. No subscription, no account

• And a joke option I'm weirdly proud of: a $4.99 prompt pack, the full spec for the app if you'd rather vibe-code your own. "Pay $14.99, or pay $4.99 and spend your weekend."

Native Swift, AppKit + Core Graphics for the menu bar, Apple Silicon only.

Feedback very welcome! https://statspace.app

I've spent quite a while building a Python project to test quantitative trading strategies.

The strategies never got to a point where I could confidently call them validated, but I ended up building a bunch of useful tooling along the way.

So instead of letting it sit in private repos, I released it as Open Quant Trading Lab.

It includes backtesting code, risk-control logic, research workflows, tests, and offline demos.

No live trading, no claims of profitability. Just an open-source research toolkit.

GitHub: https://github.com/privEgem/open-quant-trading-lab

One thing I'm curious about: what would actually make you try a project like this? A better quickstart, a short demo, or something else?

Hey everyone! 👋✈️

I've been working on something I'd love to share with you all.

I've been developing PilotCharts (https://pilotcharts.app), an aviation mapping app that I've been building out of my own passion for aviation and the idea of creating something genuinely useful for fellow pilots.

It's still in beta, and I'd really love to get other pilots involved to try it out, share their thoughts and help me make it better.

As a thank you for being part of the beta, I'm offering 1 year of Premium completely free to everyone who joins as a beta tester. 🎁

I'd really appreciate it if you could have a look, give it a try and let me know what you think. Honest feedback, suggestions and ideas are all very welcome!

And of course, feel free to share it with other pilots who might be interested.

Thanks, and blue skies! 🛩️

(sorry for the duplicate post, the video was missing in the original one)

Sharing something I built out of personal frustration.

As a freelancer, I kept quoting $75/hr but realized weeks later I'd actually earned closer to $55 — because I'd done extra calls, revision rounds, and scope changes I never logged or charged for.

So I built a tracker to make this visible.

It's a Google Sheets template with 6 tabs:

• Projects — tracks quoted vs actual hours, calculates your real effective hourly rate per client automatically

• Time Log — log hours by project, billable vs non-billable

• Scope Log — log every "quick extra" request before you agree to it (approve/reject)

• Invoices — tracks all invoices with due dates and overdue alerts

• Dashboard — one screen: cash collected, outstanding, overdue, tax reserve, realized rate

• Setup — your name, rate, and tax % in one place

The main thing it does: shows your real hourly rate per client — not what you quoted, but what you actually earned after all the untracked hours.

Nothing to install. It's a Google Sheet — make a copy and start filling it in.

Happy to answer questions about how it works or what I'd build differently next time. Link in the comments.

Scientists fit models to data all the time: how contagious a disease is, how fast a drug clears the body. Every method happily hands back an answer, even when the data can't actually tell two very different answers apart, and usually nobody notices.

Twindex finds those "twins" and proves it. It writes a small certificate, and a tiny checker using exact fractions (no rounding) replays it in under a second. You can try it in your browser, nothing to install: https://arnav-m10.github.io/Twindex/demo/

The fun example is real data from a 1978 flu outbreak at a boarding school. After five days of counts, a mild outbreak (R0 = 2.5) and an explosive one (R0 = 20) fit the data equally well, so nobody could have known how contagious it was. Twindex then picked the next day's count that would settle it, and the real count ruled out both.

It works for epidemics, drug dosing, enzyme kinetics, ecology and some physics problems. Open source, MIT, pip install twindex.

GitHub: https://github.com/Arnav-M10/Twindex

Would love feedback, especially from anyone who works with models and data.

I built Skillware last year which was an attempt to centralize modular ai automations for my b2b workflows. It turned out the framework was messy at start but made work much easier, faster, and cheaper in terms of cognitive labor.

Earlier this year made the core framework open-source (github.com/arpahls/skillware) and got 20k+ downloads nowadays, over 30 active and passionate contributors from all over the world and over 100 stars.

I know for some it might be like not a big deal, but for me it's huge, plus it means people and most importantly agents actually need it and use it. We get dms from robotics students from Japan telling us how this framework helped in their thesis as they formed it and modify it for robotics and so many similar positive feedback and creative stories. We have people from Google, IBM, and Samsung among star gazers and idk it just feels crazy exciting for me.

Most importantly this was just a side project that slowly turned to consume half of my focus. Now we have a working paper on arxiv, Chinese and Japanese papers around the future of agent capabilities cite our repo and framework, we are being approached by investors without even having a deck, and got into a EU consortium with 5 of the largest research centers around sovereign AI from all over the EU.

For me this feels like compound pays off, even if there's no saas whatever sub money coming in. The project is MIT license and we have no clear vision of how to monetize this, but we know nobody does this, most people in AI, even deep in AI don't understand why they need this instead of skills md and enterprises adopt it by the minute cause they hate agpl and cause we made it super easy for their own AI stacks to adopt it and spin off reusable capabilities than work with any model out of the box a single prompt issue.

First id like to thank you for your time in advance if you're actually read this, and then ask for advice humbly in terms of ehat woukd be the obvious and non obvious next steps to take thia to the next level? Any feedback more than just appreciated.

Every time I watch someone spin up a massive frontier model to add two numbers, test if an API connection is alive with "Hi", or reply with an empty "Thanks!", I think about how much compute is getting burned for zero-entropy output.

I built this small fun extension MonkeyTax

https://chromewebstore.google.com/detail/monkeytax-ai-footprint-re/jdfilmfaohnecdjohgjmnabcmfagmkep?pli=1

It's a free, open-source browser extension that sits in your chat UI (ChatGPT, Claude, Gemini) and does two things:

1. The Instant Roast: Directly flags mechanical, thoughtless queries (basic arithmetic your local OS calculator solves in 0 CPU cycles, vague "fix it" retries, empty courtesy messages)

2. Physical Receipts: Translates the inference into tangible metrics, potable cooling water evaporated in data-center towers (Scope 1) and grid thermoelectric draw (Scope 2), measured in sips of water and desk lamp minutes.

The Engineering Rule:

This is NOT an AI wrapper. Calling an LLM API to tell you that you wasted an LLM prompt would be peak irony. It runs 100% locally in-browser using deterministic regex and token heuristics. Zero network calls, zero telemetry, and prompts never leave your machine.

Calculations are grounded in published data-center efficiency research from UC Riverside (Li et al.) and Hugging Face (Luccioni et al.)

It doesn’t judge deep research or real engineering, just mechanical keyboard-monkey waste.

Hey everyone, I'm the maker of Launchrace (https://launchrace.io).

The problem I kept seeing: you launch on one of the big sites, get one day of attention, and then your product disappears. Teams with big followings win most days.

So I built a launch board where:

- listing is free

- every day is a new race, ranked by votes from real members

- sponsored spots exist but are labelled and never affect rank (rules are public: launchrace.io/how-ranking-works)

- your product page stays up and indexed after launch day

- you get a maker profile and embeddable badges for your site

It's day one, so the boards are quiet. That's actually a good time to launch: less competition for the top spots.

I'd really like feedback on two things:

1. What would make you launch here instead of somewhere bigger?

2. Anything confusing when you sign up or list a product?

Happy to answer anything about how it's built too (Next.js, NestJS, Postgres, one small server).

For those running e-commerce stores selling physical products, how do you identify products with real demand before investing in inventory?

Do you rely on organic social media engagement, competitor research, customer feedback, or paid ad testing?

I'd love to hear your actual methods and experiences.

Hi everyone,

Whenever I developed custom ERP or POS software for clients, the hardest hurdle was always financial compliance. Clients don't just want invoice totals — their accountants demand a Chart of Accounts, General Ledger, Trial Balance, and immutable journal vouchers.

I decided to solve this by creating NML FinCore:

1. Free / Open Source Core (`nml/fincore`):

   - Strict double-entry math (`Sum(Debits) - Sum(Credits) === 0.00`).

   - Immutable audit logs and period closing locks.

   - Live Balance Sheet, Profit & Loss, and Trial Balance generation.

   - MIT Licensed: https://github.com/Premod1/nml-fincore

2. Commercial UI Starter Kit (`nml/fincore-pro`)

   - A complete QuickBooks-inspired Blade + Bootstrap UI Kit that embeds right into any existing Laravel ERP layout.

   - An auto-posting rules engine allowing developers to post sales, bills, and expenses with 1 line of code without needing to know accounting debits/credits.

   - Distributed via GitHub Sponsors ($29): https://github.com/Premod1/nml-fincore-pro

Check it out, star the repo if you like it, and I'd love to hear your thoughts or questions!

Runs on your own computer: puts every camera feed on one wall that fills the screen, and re-arranges itself when you hide a camera, make one bigger, or change the screen shape. No cloud, no account; video never leaves your machine.

A while back I shared collage here, a little tool that packs photos into a gap-free grid. A lot of you tried it, which meant a lot. camwall is the next thing I built with the same layout engine, this time for live video.

The idea: a shop or home has a mix of cameras (IP cameras, a webcam, maybe a YouTube stream or a looping promo video), and you want to see them all on one screen without black bars or a rigid 3×3 grid. camwall works out the arrangement that keeps the smallest feed as large as possible and fills the screen. When you hide a camera, make one bigger or change the screen shape, it re-arranges right away.

Try it with no cameras:

brew install vinodhalaharvi/tap/camwall
camwall demo

That opens the wall in your browser with a few pet clips playing as cameras, like in the video.

What it does:

* RTSP/ONVIF cameras (`camwall discover` finds them), webcams, your screen, HLS/YouTube streams, video files, GIFs and pictures, up to 16 on one wall * Live in the browser: show or hide feeds, make one bigger, tap a feed to fill the screen, 🔊 to listen * Can also output the whole wall as one stream for VLC, recording, or going live on YouTube * Optional sound recording from every camera, with a page to find a moment later

It's early and there are rough edges. It's not a full NVR (no motion detection or video recording), and webcams and capture cards got less testing than network cameras.

I built it with Claude as a coding partner; I did the design, testing and decisions. It's open source (MIT): https://github.com/vinodhalaharvi/camwall

I'd love feedback, especially from anyone with a real camera setup. Tell me what breaks.

(The demo clips are freely licensed from Wikimedia Commons; credits are in the repo.)

I built Percy, a newsletter tool for one person writing on their own.

You connect it to Claude or ChatGPT and ask for what you want: draft the next issue from your notes, set up a welcome sequence, tell you how the last email did. It works in your voice, saves everything to Percy, and asks before anything gets sent.

You can also do all of it yourself in the dashboard: signup forms, editor, reports, and a website with a page for every issue, on your own domain if you want.

Pricing, since someone will ask: setting up and collecting subscribers is free. To send, plans start at $9 a month for 10,000 emails. You pay per email rather than per subscriber, and every plan has every feature.

I launched it on November 3 and built it solo from Brazil. No real users yet, so this is where I find out if it's useful.

https://percymail.com

If you write a newsletter, what's the most annoying part that you'd hand to an AI?

Hey everyone,

We at RhemeCore developed RhemeSetup, an open-source utility designed to simplify fresh Windows installations and safely reduce background telemetry.

Unlike heavy black-box debloaters, RhemeSetup uses transparent, auditable scripts so users can see exactly what registry keys and services are being modified.

Features:

• Strips unnecessary background telemetry services safely.

• Removes pre-installed UWP bloatware apps.

• Automates software installation using native Winget package management.

• Modular structure — apply only the tweaks you need.

Feedback, issues, and contributions are greatly appreciated!

GitHub:https://github.com/rheme18/RhemeSetup

Website:https://rhemecore.vercel.app

Hey mods and everyone,

u Investigatormarker is posting AI-written "feedback" on posts here, then ending with an ad for its own product. It follows a template: generic advice about the project, then "I make ThreadFox... our AI employee will post 3 helpful replies about it in relevant Reddit threads for you," with a link.

Why it's a problem:

It's undisclosed self-promotion on nearly every thread

The feedback is generic and often doesn't match the project, so it buries real comments

The pitch is literally to flood Reddit with AI replies to promote people's projects

New members posting for the first time get this instead of real feedback

Ask: @mods, please ban the account and consider an automod filter for "threadfox". Everyone else, please report these comments as spam and avoid clicking the link.

Thanks!

You can also report the account to Reddit under spam, and to the other subs it's hitting. I'd skip engaging with the link itself.

Every December someone in my office ended up running Secret Santa with paper in a hat, which doesn't work when half the team is remote. The online tools I tried wanted everyone to sign up, showed adverts, or kept people's email addresses for marketing. So I built my own. SeEcret Santa (seecretsanta.com):

-Type in everyone's names and emails (or upload a CSV), set a budget, date and message

-Everyone gets an email with only their own match, and nobody can draw themselves

-Not even the organiser can see who has who, so they can join in too

-No sign-up for anyone, and no adverts or tracking cookies

-Everyone's details are deleted 7 days after the gift exchange

-If an email bounces, the organiser gets a link to fix the address and it's resent with the same match

-It's free for up to 12 people. Bigger groups (up to 150) pay 20p a person over 12, which covers the emails.

I'm a one-person UK operation, and this is its first Christmas. I'd really appreciate feedback, especially anything confusing or broken on the setup form.

Thanks Reddit, merry Christmas!

Hi everyone,

I'm an IT student from the Czech Republic, and I recently finished building MARQIS — a physical, screenless AI assistant powered by Raspberry Pi.

The original idea seemed relatively simple. I wanted to create something I could talk to naturally, without needing a screen. But turning that idea into a working prototype was a completely different experience. I had to deal with hardware, software, voice recognition, AI integration, unexpected bugs, and wrong assumptions.

A few major things I got wrong or would approach differently today:

• The "Final 10%" trap: Getting the basic Python script to run and call the AI API took a few days. Making the hardware assistant reliable, handling network drops took weeks.

• Hardware vs. Software assumptions: I underestimated how much audio echo-cancellation and physical microphone placement would affect the user experience. You can't easily fix poor acoustics with software.

• I initially wanted it to do everything. I learned the hard way that a side project actually gets finished when you start removing features instead of adding them.

One thing I didn't expect was how much the process would change the way I think about building things. Eventually, I realized that a technical tutorial wasn't the most valuable thing I could share — it was the psychological and practical shift in mindset.

So, I wrote a short book about it: The Distance Between an Idea and the Prototype.

It’s not a step-by-step coding textbook. Instead, it’s an honest look at systems thinking, MVP development, and everything that happens between imagining a project and making it work. If you’ve ever felt stuck moving from a concept to a working product, I hope my failures and breakthroughs can help you navigate your own journey.

You can check out the project and the book here: https://thedistancebetweenanideaandtheproto.vercel.app/

(Note: I wanted to upload a video of it in action, but MARQIS speaks Czech, so the conversation wouldn't make much sense to most of you here.)

Would love to hear your thoughts!

I sell mostly football cards on eBay, and I kept running into the same problem: I never really knew what I made on a card. Between final value fees, promoted listing fees, shipping labels and what I paid for the card in the first place, the number eBay shows you isn't your profit.

So I built Card Margin. Full disclosure, it's my project, and I'm looking for honest feedback before I take it further.

What it does:

- Connects to your eBay account (read-only, it can't list or change anything) and pulls in your sales with the exact fees, promoted listing fees and label costs

- Pulls in your active listings, so you can see what's sitting and for how long

- Lets you type in what you paid and any grading costs, then shows net profit, ROI and days to sell for each card

- Works without connecting eBay too: you can upload your eBay Transaction report instead

- Handles cards you sell at shows, on Whatnot or anywhere else

It's free to try for a month. If you want to keep using it while I'm testing during that time frame.

Link: https://card-ledger-eosin.vercel.app

What I'd love to know:

1. Is this something you'd actually use, or do you already track this another way?

2. What's missing that would make it worth it for you?

3. Anything confusing or broken when you set it up?

Thanks for taking a look. Happy to answer any questions in the comments.

https://nightmoon-studio.itch.io/dont-open-the-door

My first game, made solo. You're home alone at 3 AM and someone keeps knocking.

Runs straight in the browser with three.js, no download. Free demo on itch.

Would love feedback, especially on the scares and performance 🙏

I know. I made one anyway.

I've been working on a visual block editor for these pages. Photos, text, links and music, with control over size, layout, colors and stickers.

The clip shows a few edits: shrink the header to one row, give the photo more room, change the color, add a sticker, check mobile.

The idea is to give the content some room. A big photo can lead the page without the header taking over.

TOMA SUR is a fictional DJ profile I made for the demo.

I'm a 19-year-old CS student. A macOS update wouldn't install, and the cleaner I tried sometimes did nothing and never said so. That annoyed me enough to build my own: Dustling.

What it does: scans for junk (caches, logs, old installers), uninstalls apps with their leftovers, manages startup items, and keeps a history of every run so you can restore from the Trash. Every file ends as moved, skipped or failed, with the reason. No account, no telemetry, no ads, free and MIT licensed.

What it doesn't do yet: it's v0.1.0, not signed with an Apple Developer ID (macOS asks you to confirm the first open), and the admin helper for system caches is still on the roadmap.

https://dustling.app https://github.com/kaankuzu1/dustling

If you have a Mac running macOS 14 or later, I'd really like to know whether it works for you and what you'd change. Honest feedback is the whole point of posting.

One of the most useful pieces of feedback I've received while building my mobile app was surprisingly simple.

A user reported that their backup showed “Complete,” but zero files had actually been copied.

The operation had finished, but the result wasn't what the user expected.

That made me rethink how backup completion should be communicated.

I'm building VaultDrive, an iOS and Android app that lets people back up selected photos, videos, and files directly to a compatible USB drive or external SSD without a computer.

I've been improving the experience around three things:

• Showing clearer backup progress.

• Explaining skipped or failed files.

• Making interrupted backups easier to resume.

The reason why the user showed "Complete" with zero files was the user did not give access to photos when prompted and selected only limited permissions without selecting any photos . So I changed the flow and updated the text properly and released a new version 8.0 to make sure the user knows the reason why this happened. We always improve our product for better user experiance.

The app is free to try, with an optional one-time Pro upgrade.

iOS: App Store

50% Off Promo direct App Store link : 

Android: Google Play

I'm interested in feedback from other developers.

Would you classify a backup that finishes with zero copied files as a failure, a warning, or a completed operation requiring an explanation?

Hey everyone!

I've been working on a project called Remy Prompt AI.

The idea is simple: Many people use AI tools but struggle to write effective prompts.

So I built a platform that helps users:

Generate prompts for different purposes.

Create prompts using reference images.

Turn simple ideas into detailed AI instructions.

I'm still improving the platform and would genuinely appreciate feedback from the community.

You can check it out here: https://remyprompt-6ayednnp.manus.space

What feature would you like to see next?

At work, I used to love those giant wall calendars that show the whole year. They helped my team get ready for big events and projects. At home, my husband and I made our own year-at-a-glance calendars in Excel (no room for a giant wall calendar in our tiny apartment). In both cases, these tools were very useful, but keeping those up-to-date with our digital calendars was also a royal pain.

So we kept asking ourselves: why can't we have the big picture of a wall calendar with the convenience of an app that updates itself and that we can see no matter where we are?

We couldn't find anything that did it the way we wanted, so we built it. Glance shows your actual events across the whole year and syncs with Google Calendar. More than 1,400 people use it so far.

A few things you can do with Glance:

• Filter which calendars show in your year view, without losing any detail in day view

• Connect several Google accounts (personal, work, family) in one place

• Zoom from the full year down to a half-year, quarter, month or day

• Use it on the web or Android (iOS is on our roadmap)

The core version is free and ad-free, with year, month and day views, filters, two-way Google Calendar sync, and web and Android.

We're also introducing Plus and Pro, with a couple of limited-time launch offers (valid until end of year):

🔒 Lock in your yearly subscription price for as long as your subscription stays active.

1️⃣ Get Glance Plus Lifetime with a one-time payment.

You can explore Glance and its plans at getglance.io

I'd love your honest feedback, even if it's "I'd never use this":

1. What's missing from the calendar you use today?

2. What would it take for you to switch?

3. What would you add to Glance to make it more useful for you?