We were tired of the old industry standards where software vendors charge you per device or per IMEI just to wipe data. If you operate in ITAD (IT Asset Disposition) or device refurbishment, these hidden costs eat up your thin margins instantly.
That s why we built FehrWatch and we did it in just 6 weeks with zero bloated overhead.
On August 15th, our new platform officially goes live, and our Smartphone-Wipe feature will be fully included in our flat monthly subscription!
No per-device licensing nonsense: Wipe as many devices as you need.
No spreadsheet chaos: Just upload your CSV/XLSX lists.
Automated validation: Our built-in traffic-light system flags anomalies instantly.
I'm the founder of Staff Scheduling, a cloud-based employee scheduling and workforce management tool.
I originally built it after seeing how much time businesses were spending creating weekly schedules in spreadsheets, handling shift swaps, leave requests, and team communication manually.
Today I launched my browser extension ChatNote which gives you the ability to comment on individual paragraphs in AI chats. This comes in very handy in longer chats with equally long AI responses. It's really useful and I use it all the time.
So far it works for ChatGPT, Claude, Gemini, Grok, Kimi, DeepSeek and locally ran LibreChat.
AI tools generate ideas faster than anyone can sort them. I kept ending up with Slack threads, half-finished docs, and twelve tabs of "things to look into" - and no clear picture of what was actually shipping.
So I built agency-os. It turns Notion into a single board for working with AI:
You talk through ideas with the agent. It pushes back, asks clarifying questions, and scopes the work into tasks and subtasks on the row.
You approve before anything runs. Nothing dispatches autonomously - every execution is operator-gated.
Agents pick up approved rows, work in parallel respecting dependencies, and close them with result links.
The board is the source of truth. The agent is just an executor.
Most of my day is still spent jumping between ChatGPT chats, Claude conversations, docs, tasks, and Slack messages trying to piece everything back together.
Like many of you, I noticed a huge problem when trying to manage multiple links, tools, and services in one place / managing SaaS tools efficiently. Most existing solutions were either overly complex, bloated with useless features, or way too expensive.
That s why I built huby.my a fast, clean, and intuitive way to connect, manage, and share your digital presence / streamline your workflow.
I've been building a product that rethinks the paper receipt turning it into a digital touchpoint that helps retail and food businesses actually retain and understand their customers, instead of losing them the moment they walk out the door.
The core problem I'm trying to solve: most small and growing businesses have no idea who their repeat customers are, no easy way to reach them again, and no simple way to understand what's actually driving sales. Existing solutions tend to require heavy POS replacements or enterprise-level data tools, which puts them out of reach for a lot of business owners.
What I'm building includes digital receipts, automatic loyalty recognition, a simple customer dashboard, and plain-language AI insights (like flagging at-risk customers or peak hours) designed to sit on top of a business's existing setup rather than replacing it.
I'm still in active development and testing with real merchants, and I'd genuinely like input from this community, especially if you've built something in retail tech, loyalty, or POS-adjacent spaces:
A few weeks ago I shared Cognilumin as an early AI explainability tool. A lot has changed since then, and I wanted to post an update for anyone who saw the original thread.
Cognilumin has evolved into a focused AI observability and clarity platform three modules that help teams understand, visualize, and debug AI behavior:
Illuminator structured, expert level explanations with intent based routing (evaluation, debugging, observability, or master teacher depending on the question)
Topology Visualizer live particle flow state maps from natural language descriptions (lightweight alternative to Galileo Smartscape)
Execution Logs step by step reasoning traces with hex formatted indices and action tags, zero setup
I ve also refined the onboarding: the homepage now includes four scenario pills that instantly demo evaluation, debugging, observability, and concept explanation so a visitor can see the value in under 10 seconds without typing a word.
We are excited to share that we are building Reserved AI Bandwidth - openbandwidth
This effort came from a deep frustration that AI pricing model is broken for heavy usage. For building something meaningful and useful, I was paying 200$ per month for closed source research labs. Also the position no.1 is being competed by various companies, migrating was very difficult.
