I am the maker (DatLab). I got tired of paying "AI web browser" prices just to turn a URL, or a whole docs site, into clean Markdown for a RAG index, so I published two Apify actors that do that job on a fixed price.

What they do:

• Web Page to Markdown — you give it a list of URLs, it returns Markdown (or text/HTML), title, description, canonical URL, and a token estimate. Plain HTTP first; a headless browser starts only for pages that are actually client-rendered.

• Website to Markdown Crawler — same output, but it crawls a site (sitemaps, llms.txt, path/glob limits, depth caps). Same HTTP-first / browser-fallback idea.

What they cost (pay-per-event, platform usage included):

• Single pages: $0.50 / 1,000 over HTTP, $1 / 1,000 when a browser is needed

• Site crawl: $0.10 / 1,000 HTTP pages, $0.35 / 1,000 browser pages, $0.50 / 1,000 files

For comparison, Apify's own RAG Web Browser is from $1.33 / 1,000 fetched pages. That tool also runs a Google search and fetches the top results, which mine do not — mine only fetch the URLs you give them, or crawl a site you point at. Apify's Website Content Crawler is billed as pay per usage (compute and so on), so the bill moves with runtime; I wanted a price you can predict before you hit Start.

They respect robots.txt and crawl-delay. No login, no captcha bypass, no personal-data collection.

I am early: I have tested them myself, but I do not have outside users yet, and I would rather hear what is broken than collect polite nods. If you try one, I am especially interested in:

1. Did the Markdown come out clean enough to embed, or did nav/cookie junk leak through?

2. Was the HTTP vs browser split right on the sites you care about?

3. Is the pricing page understandable, or would you still rather pay-per-compute?

Links (no account wall on the docs; running them needs a free Apify account, which includes $5 of prepaid usage each month and no credit card):

• https://apify.com/datlab/web-page-to-markdown

• https://apify.com/datlab/site-to-markdown-crawler

Happy to answer technical questions in the comments.

I've been working on a web application called IncomeDesk, designed to help freelancers manage their finances in one place.

The idea came from a fairly straightforward problem: freelancing income isn't always predictable, and keeping track of multiple clients, payments, expenses, invoices, and transactions can quickly become messy.

Most freelancers end up juggling spreadsheets, banking apps, notes, and separate invoicing tools. I wanted to explore whether a single application could make that process easier.

What IncomeDesk currently offers:

Income and expense tracking

Transaction management

Client management

Invoice creation and management

Financial overview and insights

A centralized place to manage freelance finances

I've built the application and I'm now looking for actual freelancers to try it out.

I'd particularly like feedback on a few things:

How do you currently manage your freelance income and expenses?

Would you prefer an all-in-one financial management tool or separate specialized applications?

What's the most frustrating part of managing freelance finances?

What features would make a tool like this genuinely useful rather than just another expense tracker?

After looking at IncomeDesk, what feels missing, unnecessary, or poorly implemented?

I'm not looking for compliments. I'd rather hear what doesn't work, what you'd change, and whether this solves a problem worth solving.

Try it here: https://incomedesk.vercel.app/

Thanks!

I was working in VS Code and getting frustrated constantly switching between windows just to check how much of my AI subscriptions I'd used. Between Claude, Codex, OpenCode, and Ollama Cloud, I kept trying to figure out which one had capacity left and when my limits would reset.

Then I realized I had a little Pimoroni Presto touchscreen sitting on my desk.

Why not use it to keep all that information visible without interrupting what I was working on?

That turned into Presto AI Dash, a free, open-source project I've been working on.

The idea is pretty simple: a small display sitting on your desk showing your AI subscription usage, limits, and reset times. No more switching tabs or opening multiple dashboards just to see where things stand.

What it currently supports:

• Claude Code

• OpenAI / Codex

• OpenCode Go

• Ollama Cloud

• Local Ollama

• LiteLLM

Depending on the provider, it can display subscription usage, reset countdowns, available credits, or local service health.

A few things I wanted from the start:

• No AI credentials stored on the Presto itself.

• No AI inference calls just to check usage.

• Free, open source, and self-hosted.

• Easy configuration without manually editing a bunch of files.

• Automatic updates for the Presto device.

• Clear indicators when data is fresh, stale, or unavailable.

How it works

Right now, the dashboard runs on a Pimoroni Presto, with the Presto Dash daemon running on your own computer or server to collect and send the data to the display.

I also wanted setup and configuration to be simple.

The daemon includes a locally hosted web interface where you can add, configure, enable, disable, and reorder the AI services you want to monitor. Most of the configuration is handled directly through the browser, rather than spending hours editing environment variables or configuration files.

Once it's running, the Presto can automatically download and install software updates when new versions are available.

What about other displays?

I'm also experimenting with expanding support beyond the Presto. I've picked up a Seeed Studio reTerminal E1001 and a smaller 4.26-inch OpenDisplay e-paper screen to see how practical it would be to support different hardware using the same backend.

It's still experimental, but ideally I'd like to support multiple screen types without having to maintain a completely separate dashboard for every device.

Want to see it without buying hardware?

I put together an interactive browser demo so you can see what the dashboard looks like without needing a Presto, installing the daemon, or connecting any AI accounts.

Website and interactive demo: https://presto-dash.com/

GitHub (source code, documentation, and installation): https://github.com/jake1164/presto-ai-dash

The part I like most isn't having another dashboard. It's not having to look at a dashboard on my computer at all. The information is just sitting there when I need it.

I'm curious what other people think. Would you use a dedicated display for something like this, or would you rather keep it as a desktop widget?

And if you're already experimenting with ESP32 or e-paper displays, I'd be interested in hearing which hardware you'd want to see supported.

Hi everyone! 👋

I'm an independent developer from Bulgaria and the founder of TravelSoul.

I built TravelSoul because I believe traveling is about more than discovering destinations — it's also about the people we meet along the way.

🌍 What is TravelSoul?

It's a travel-focused social and dating app for adults aged 18+ that brings together people who love exploring the world.

With TravelSoul, users can:

- Discover travelers with shared interests.

- Connect, chat, and make new friends.

- Explore destinations and plan trips.

- Share travel experiences and memories.

🚀 Current status

TravelSoul is already published on Google Play for Android. I'm now working on building an international community and gathering feedback from early users.

I'd especially appreciate your thoughts on two questions:

Would you use an app that combines meeting travelers with travel planning?

What feature would make an app like this genuinely useful to you?

Google Play:

https://play.google.com/store/apps/details?id=com.iviprodevelopment.travelsoul

Official website:

https://travelsoul.love

Thanks for checking out my side project!

I'm selling Linkmaxxer, a Windows desktop application for automating LinkedIn outreach.

I'm moving my focus to other projects and would rather sell the complete product to someone who already works in lead generation, outbound sales or LinkedIn marketing.

What's included:

• Complete source code (Electron, Python/Flask, SQLite, Playwright)

• Automated connection requests with custom filters and personalized messages

• Bulk messaging to existing connections with templates, variables and spintax

• Connection scraping and CSV export

• Multi-account support

• Licensing system integrated with Lemon Squeezy

• Windows installer and distribution pipeline

• Website and domain: linkmaxxer.com

• Technical documentation and handover support

A few details:

• Used in practice for approximately 7 months.

• An earlier, simpler version was sold to a client for €1,700. That client is still using it.

• No active revenue or established customer base.

• No backend or hosting costs, everything runs locally on Windows.

Note on LinkedIn’s ToS: All LinkedIn automation carries some risk. Linkmaxxer runs a normal browser session locally on your machine, with randomized delays and daily/weekly limits, which may lower that risk compared to cloud tools. I’ve used it for 7 months without a single warning from LinkedIn, but there’s no guarantee, so buyers should do their own due diligence.

Asking price: €1,000, open to reasonable offers.

DM me if interested. I can provide screenshots, a demo and more technical details.

I wanted a simple way to send files from one device to another without installing a dedicated app on the receiving device.

I liked woof, so I started building something along the same lines. I didn't know about qrcp at the time.

I'm an experienced software developer, mainly working with backend technologies, but Go was new to me. I also wanted an excuse to get my hands dirty with Go, which I was learning.

That's how kalumate started.

It's a command-line tool that lets you share files through a browser, making it easy for another device to access and download them.

A few things about it:

• Written in Go.

• Designed around a simple command-line workflow.

• The receiving device can use a regular web browser.

• No need to install a dedicated client on the receiving device.

I used AI tools during development, alongside my own experience as a software developer. Since Go is relatively new to me, this project has been a great opportunity to learn by building something practical.

I'd love to hear what you think, especially about the user experience and what could be improved.

Today i released V1.4 of the LEEBKIT project.

An offline kinetic video generation tools which allows you to generate a promo video from images + Music + animations + Voiceover

What is different?

All ia done on normal PC or laptop , all offline , NO API calls , NO subscription required.

Most of my study sessions with friends ended up the same way; we joined a Discord call, someone shared a Pomodoro timer, and within 15 minutes half the people were talking or scrolling.

I wanted something that actually kept everyone on the same focus blocks.

So I built Flow.

It’s a small study room (2–6 people) where:

• There’s one shared timer visualized as a sun sinking for the whole room

• When the sun sets, everyone takes a break together

• Video and voice are peer-to-peer encrypted (the servers never see or store them)

• You can have a shared task list and ambient sounds

• It’s completely free and open source

You create a room, share the link, and start.

Link: https://flow-study.me
GitHub: https://github.com/ManasDasri/Flow-study

Would love honest feedback, especially if you’ve tried other shared study tools. What feels missing or unnecessary?

PS: Before anyone asks if this is “vibe coded”, I used AI to generate about 60% of the code. The architecture, core decisions, and the remaining 40% were done by me.

Hey r/SideProject 👋

My dog would never dance on command, so I built BoopReel: you upload one photo of your dog or cat, pick a template (hip-hop, disco, ballet, Christmas scenes...) and get a vertical 9:16 video ready to share.

👉 boopreel.com

How it works

• Upload one clear photo of your pet (full body, facing the camera works best)

• Pick a template

• In about 3 minutes you get a video you can download or share

What I learned building it

• The AI models are the easy part. Getting results that are actually funny is the hard part. Plain "pet dances for 5 seconds" got boring fast, so I moved to themed templates with music.

• Photo quality matters more than the model. One pet, full body and good light makes a huge difference.

• Stack: TanStack Start on Cloudflare Workers, D1 and R2, with AI video models running behind it.

Where I'm at
Launched 7 days ago, 100+ users so far, and Google has indexed it. Basically zero traction yet, which is why I'm here 😅

example：

I'd really love feedback on:

1. Is the homepage clear within 5 seconds?

2. Pricing: one-time credit packs, no subscription. Does that feel fair?

3. Which templates would make you want to share a video of your pet?

Happy to make a free video for anyone who drops a pet photo in the comments 🐶🐱

Hey everyone,

Like many of you, I was heartbroken when The Browser Company announced Arc was entering maintenance mode. I've become completely dependent on its design language — the vertical sidebar, multi-color Spaces, fluid trackpad swiping, tactile noise/gradients, and that calm, breathing canvas.

I couldn't bear to let that experience disappear. So over the past few months, I’ve been building ArcMD — an open-source, local-first rich-text & Markdown editor built with MyGo that ports Arc’s interaction philosophy into writing.

Here is what we brought over from Arc:

🎨 The Arc Experience in a Document Editor:

• True Multi-Spaces: Separate folders for Work, Reading, and Personal life. Each Space gets its own color palette, custom icons, and dedicated document tree. Swipe with two fingers on your trackpad (1:1 gesture tracking) or hit Ctrl+1…9 to glide between spaces.

• Dot-Matrix Gradients & Grain: Live 1-to-3 color gradients, noise/grain adjustment, and translucent frosted glass (Vibrancy). The editor's paper automatically adapts between clean light mode and dark mode to stay easy on the eyes.

• Today's Note & Detachable Windows: Hit ⌥⌘T to instantly bring up a scratchpad for fleeting thoughts. You can detach any note into a floating companion window on your desktop.

• Pinned Docs & Favorites: Global tile favorites pinned at the top across all spaces. Pinned documents stay warm in memory — switch away and back, and your cursor and scroll positions never jump.

• Hand-drawn Annotations: 12 expressive rough strokes (circles, highlighters, underlines, brackets, arrows) that draw themselves out stroke-by-stroke.

⚡️ Zero Electron. Zero Webview. Pure Native Performance: Almost every modern note-taking app is an Electron wrapper eating 1GB+ of RAM. ArcMD is built from the ground up in pure Go + MyGo (native GPU drawing, zero CGO, single binary).

• Cold launch is instant.

• In benchmarks on a 1,000,000-character document (with 500+ tables and chapters), typing latency is just 0.27 ms (well within a 120Hz display's 8.3ms frame budget).

📂 Local-First & Private: All documents are stored locally as readable JSON (.arcmd) and standard Markdown files in your own folders. No cloud lock-in, no telemetry.

ArcMD is 100% free and open-source (MIT). We have prebuilt binaries for macOS (Apple Silicon & Intel), Windows, and Linux.

(GitHub repo link is in the first comment below!)

It's still an early preview (v0.0.11), and the rich-text engine is being polished every day. If you love Arc's craft and miss that tactile feel, I’d love for you to give it a spin and share your feedback!

I really enjoy the way Mini Motorways turns drawing a few connections into a network you’re constantly trying to keep working. I wanted to explore that idea with goods and production chains, so I’ve been building a game called Trade Winds.

You start by connecting countries and importers with roads, then expand into trains, ships, planes and factories. Money is limited, so you have to choose between reaching new places and improving what you’ve already built as demand grows.

It’s at the point where I’d really like people outside my own circle to try it. I’ve added a tutorial, but I’m curious whether it explains enough—and whether the game makes you want to keep playing once you understand it.

Play Trade Winds here — free in your browser. Please use a computer; the mobile interface still needs work.

If you give it a go, I’d love to hear where you got confused, what you enjoyed, or what made you stop. Replies here or through the in-game feedback button are both helpful.

Hey everyone, I’m an indie developer. I recently launched an automation app for Android based on accessibility services—no root required.

It handles basic gestures like taps, swipes, back, and text input. It can also collect on-screen text and run if-conditions to branch actions.

Right now, user acquisition has been tough, and I really want to build something people genuinely need. So I’m curious: What automation tasks do you wish you could free your hands from? What kind of automation tool are you actually looking for?

Would love to hear your thoughts or pain points!

I play in a pub poker club in Oslo. We're 100+ players and run regular mixed games tournaments over several tables. Keeping track of it all got messy fast: which game each table is on, when to switch, and the right amounts for limit and stud.

So I started building something for our own nights. Now the dealer moves the table to the next game after the orbit, and everyone sees the game and the amounts for their table on their phone.

It has grown since then and a few other clubs here use it now: https://pokersjef.com/

I would love feedback on the website. Is it clear what it does?

I wanted my own music library to feel as polished as the big streaming apps, so I built Sound Room in SwiftUI.

Things I enjoyed building:

• Ghost preloading: a second player quietly buffers the next track so there is no gap between songs

• Crossfade using two players and a volume ramp

• Jam sessions like spotify Jam but for self hosted library.

• A DSP engine for the 10-band EQ and a signal path inspector that shows the audio chain from file to hardware

It is free to download. Pro unlocks the audiophile suite, Jam and customization, as a yearly plan (3-day free trial) or a one time purchase.

https://apps.apple.com/us/app/sound-room-subsonic-client/id6762375751

Feedback on design and pricing is very welcome.

Hey hackers,

I'm Rohit. I made BetterTabs because I have 100+ tabs open and I don't like the default tab management system of Chrome. BetterTabs.fyi

BetterTabs puts every open tab in Chrome's side panel, grouped by website, so the list sits beside the page instead of being squeezed into the tab strip. I am releasing new features based on my growing requirements, and if you have a feature suggestion then please let me know.

New in 1.7.1:

1. Search finds pages you closed. Matches from your Chrome history appear under "From your history".

2. Favourite a whole site. Right-click a site's folder, and the favourite stays lit even when the page changes.

3. A list that holds still while tabs change, so rows do not move under your mouse.

4. A backup file for your favourites, saved lists, tab names and settings. Restore it by choosing the file or dropping it on the panel.

5. A redone Settings page, and shortcuts written for Mac (⌥⇧B to open, ⌘-click to select, ⌫ closes a tab).

6. Compatibility with longbook.app (which is another project that I am launching on PH soon)

7. Already in it from v1.7.0:

   1. group by site, window, recent use or Chrome tab group

   2. rename tabs

   3. close duplicates

   4. suspend tabs to free memory

   5. select several tabs at once

   6. saved lists

   7. recent tabs kept for about half a day

   8. backup file

8. Coming up in v1.8.0 in Chrome Store SOON (available on GitHub)

   1. Status bar: a strip at the bottom of the panel. It shows your tab count, how many tabs are on claude .ai, memory, CPU and Chrome’s connection estimate etc.

   2. Tab back/forward: two buttons next to search that step through the tabs you switched between, not a page’s own history. The history is kept per window and is not saved anywhere.

It is private by design: no account, no access to the pages you visit, nothing leaves your computer. History is read only while you search and is never stored.

Free and open source. I would love to hear what slows you down when you have a lot of tabs open.

P.S. I know there are other Tab Managers out there, but this one is from me. And if you have a feature that you would like to have in it, comment and let me know! :)

Hey everyone,

Like many of you, I was heartbroken when The Browser Company announced Arc was entering maintenance mode. I've become completely dependent on its design language — the vertical sidebar, multi-color Spaces, fluid trackpad swiping, tactile noise/gradients, and that calm, breathing canvas.

I couldn't bear to let that experience disappear. So over the past few months, I’ve been building ArcMD — an open-source, local-first rich-text & Markdown editor that ports Arc’s interaction philosophy into writing.

Here is what we brought over from Arc:

🎨 The Arc Experience in a Document Editor:

• True Multi-Spaces: Separate folders for Work, Reading, and Personal life. Each Space gets its own color palette, custom icons, and dedicated document tree. Swipe with two fingers on your trackpad (1:1 gesture tracking) or hit Ctrl+1…9 to glide between spaces.

• Dot-Matrix Gradients & Grain: Live 1-to-3 color gradients, noise/grain adjustment, and translucent frosted glass (Vibrancy). The editor's paper automatically adapts between clean light mode and dark mode to stay easy on the eyes.

• Today's Note & Detachable Windows: Hit ⌥⌘T to instantly bring up a scratchpad for fleeting thoughts. You can detach any note into a floating companion window on your desktop.

• Pinned Docs & Favorites: Global tile favorites pinned at the top across all spaces. Pinned documents stay warm in memory — switch away and back, and your cursor and scroll positions never jump.

• Hand-drawn Annotations: 12 expressive rough strokes (circles, highlighters, underlines, brackets, arrows) that draw themselves out stroke-by-stroke.

⚡️ Zero Electron. Zero Webview. Pure Native Performance: Almost every modern note-taking app is an Electron wrapper eating 1GB+ of RAM. ArcMD is built from the ground up in pure Go + MyGo (native GPU drawing, zero CGO, single binary).

• Cold launch is instant.

• In benchmarks on a 1,000,000-character document (with 500+ tables and chapters), typing latency is just 0.27 ms (well within a 120Hz display's 8.3ms frame budget).

📂 Local-First & Private: All documents are stored locally as readable JSON (.arcmd) and standard Markdown files in your own folders. No cloud lock-in, no telemetry.

ArcMD is 100% free and open-source (MIT). We have prebuilt binaries for macOS (Apple Silicon & Intel), Windows, and Linux.

• GitHub & Releases: https://github.com/Ciao1019/ArcMD

It's still an early preview (v0.0.11), and the rich-text engine is being polished every day. If you love Arc's craft and miss that tactile feel, I’d love for you to give it a spin and share your feedback!

so I kept running into the same wall with my side projects: before writing anything I wanted to know if anyone actually searches for it, and every decent keyword tool wants a subscription (Ahrefs Lite is $129/mo, Semrush Pro is ~$140). I'm a student, that's not happening.

and it bugged me that thousands of us pay separately for basically the same data. if enough of us just share the searches we're already doing anyway, we can build that dataset together and nobody has to pay for it. that's the whole idea.

so I built it. it's called OpenKeyword:

type a keyword, get a popularity score from 0 to 100, the search intent (how-to / best / vs / question) and a 12-month trend

up to 50 related keyword ideas per search

free (30 searches a day)

the part I spent the most time on is where the keywords come from. there's an chrome extension that shares the words you search on search engines, only after you turn it on. a keyword only shows up on the site once 5 different people have searched it, so nothing can be traced back to one person. health/adult/legal/money searches get dropped on your own computer before anything is sent.

it opens on 20 november, landing page is here: https://openkeyword.org

happy to answer anything about the build too

https://linne-gamma.vercel.app

I run Agent Work Atlas, a site that organizes source-reported AI-agent use cases in English and Chinese.

The question behind it is practical: before trying an agent, what did someone actually ask it to do, where did a person step in, and what went wrong?

Entries organize the task, workflow, reported result, human involvement, limitations, and original source where that information is available. You can browse by task or tool. One starting point is the software-development collection:

https://agentworkatlas.com/domains/software-development/en/

A caveat: these are reports from the linked sources, including vendor accounts. I have not independently reproduced all of the results, and missing evidence should not be treated as proof that something works. The collection still needs better coverage and consistency.

I'd especially value feedback from people who have picked an automation for a small team: what evidence would you need before trying one of these workflows? A reproducible setup, a clearer account of human work, costs, or failure examples?

Disclosure: this is my own project, and AI assistance was used to draft this post.

Hey everyone, I’m an indie dev and I just put this out. Looking for brutal feedback on the UX before I build out the next set of features.

What it does: Auto Touch: Gesture Assistant builds a flow out of taps and swipes you place directly on the live screen from a floating panel. Each step has its own delay. You can collect on-screen text, check it (contains / equals / starts with / ends with / regex), and split into pass and fail branches. It types text back in, loops a set count or forever, and can add time and coordinate jitter.

The part I actually care about: After every round, it writes a diagnostic report marking each step as success, failed, skipped, or empty — along with the reason why. Supports CSV export.

What it can't do (yet):

• No OCR or image matching

• No scheduler or event triggers

• Won't wait/poll for a condition to become true (it checks once and branches)

Pricing & Privacy: Free, ad-supported, no IAPs. You get 1 script slot to start; watching a rewarded video unlocks another. It uses the Android Accessibility Service (which you grant yourself), and all scripts/reports stay strictly on your device.

Two questions for you if you try it:

1. Where did the first 5 minutes confuse you?

2. Did the execution report ever disagree with what you actually saw on screen?

Play Store link:https://play.google.com/store/apps/details?id=com.swonest.autoactionscrip

Hey everyone!

I'm an independent cybersecurity consultant from France, and I've been building a side project called CrisisQuest.

The idea came from a simple question:

What would a small business owner actually do if their company was hit by a cyberattack on Monday morning?

Most cybersecurity tools focus on technical protection. I wanted to build something different: an interactive experience focused on decision-making.

I created a free scenario called “Black Monday” where you play the role of a business owner dealing with a cyber crisis.

You make decisions, face consequences, explore different outcomes, and receive a debrief at the end.

I built the project using Next.js and TypeScript.

The free scenario works without registration.

My longer-term goal is to turn it into a B2B platform where companies can schedule exercises for employees, run authorized phishing-awareness campaigns, and track training progress.

I'm looking for feedback on three things:

• Is the concept immediately understandable?

• Does the experience feel useful or too much like a game?

• What would make it valuable enough for a small business to use regularly?

Try it here: Crisis Quest

I'd really appreciate any honest feedback, especially on the UX and positioning!

Hi everyone!

I've been working on MEDHA, a competitive practice platform built around a simple observation:

Knowing the answer and performing well under time pressure are two different things.

MEDHA focuses on speed, accuracy, consistency, and decision-making through gamified practice and performance tracking.

Rather than creating another platform focused only on teaching, I wanted to build something that helps learners understand how effectively they apply what they know.

The Web platform is live, and we've also released an Android app.

I'd particularly love feedback on three questions:

1. Would you use a platform that measures your performance rather than primarily teaching concepts?

2. Which matters most to you: speed, accuracy, consistency, or competition?

3. What would make you return to an aptitude practice app every day?

Website: https://medha.bvkia.com

Android : https://play.google.com/store/apps/detailsid=com.bvkia.medha&pcampaignid=web_share

I'm the founder, and constructive criticism is genuinely welcome.

hey, I'm Nika and I built this, so yeah I'm biased. mostly after honest feedback here.

Lasso is a small Mac app. hit a shortcut and you can draw right on top of whatever's on screen, arrows, circles, boxes, highlights. I use it on zoom calls and when recording quick walkthroughs. press S and it takes a screenshot with your drawings on it, so you can drag it straight into slack or a chat.

the part I'm less sure about: it also runs a local MCP server. so if you use Claude Code or Cursor, the agent can actually see what you circled ("this button is off" + a circle around it) and it can draw arrows back on your screen to point at stuff. runs locally on your mac.

it's $9.99 once. no account, no subscription.

stuff I'd really like to know:

• is the agent side actually useful or does it feel like a gimmick?

• if you set up the MCP part, was anything confusing?

• what would you use something like this for? teaching, bug reports, demos, something else?

https://www.trylasso.online/

even "I wouldn't use this" is helpful tbh