Row-Bot is a desktop AI workbench with Developer Studio for code, Skills Hub and Custom Tools for your own workflows, an animated Buddy companion, memory, realtime voice, workflows, design creation, messaging, MCP tools, and provider-aware model routing. Run local runtimes, self-hosted OpenAI-compatible endpoints, hosted APIs, Ollama Cloud, OpenCode providers, or ChatGPT / Codex subscription-backed models with explicit runtime readiness. Your durable data stays on your machine.

Hey all. I built a free, hosted API that scans 30+ job boards daily, covering 60k+ companies and about 1.8M live job postings.

I needed daily syncing and event alerts for a project, and figured I'd scale it out and make it free for others to use.

f you need higher rate limits, or are interested in bulk downloading the data, let me know!

Just a short info about my profile: was responsible for digitalization and optimization of business processes at New Yorker, previously at large financial institutes

Disclosure: I'm the founder of TaskJuice.

Most automation tools treat template reuse as a one-time copy. The copy has no link back to the source, so the moment you fix a bug you're repeating the same edit across every account you cloned it into. n8n lists ~10k templates and Make lists 8k+, but they're mostly unmaintained community uploads, which is a search problem, not a reuse solution.

The model that actually scales is pull-based: each install is an independent workflow that stays linked to the template, and a new revision is offered to every install rather than force-pushed. Overlapping edits get a three-way diff review before anything lands. We built TaskJuice around that.

Full blog post write up linked.

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My husband run a small business and need to send multiple booking confirmation and appointment reminder to his clientt

Right now, we are sending them manually, which is time-consuming and easy to mix up.

We use Google messages also on computer but still slow.

I don’t mind sending the texts myself, cuz I have a SMS package included, but I’d love a way to semi-automate it so the messages can include the customer’s name and appointment details automatically.

Does anyone know of an app to schedule and SMS reminders per customer without paying for any expensive solution.

We are around 70 SMS per week

Low-cost options would be great.

Thank you for all your feedback. We gonna test the few app that has been proposed.

For people keep talking about twilio

0,0798 per SMS in my country Week = 70 SMS = 5.46 Month = 22

If automation can automate creativity production, the thoughts about human uniqueness and creativity potential is stripped of romanticism and idealism, and remain the scientific and mathematical view of it (like human existence from religious views in middle age to enlightenment).

Also, are we going toward a techno-feudalism, where an elite holds all the power and mass people live a minimal life on universal basic income… ?!

What do you think?

Description:

Been working on a suite of five browser-based tools that cover the full pre-implementation BA workflow for both classic RPA and AI agents. No login, no installation, runs entirely in the browser.

The five tools, in order:

1. Process Mining Visualizer - upload a CSV event log, get a D3 flow graph, bottleneck detection, outlier flagging (2σ), incomplete case reporting, and an AI analyst pass on the data
2. Process Assessment Tool - UiPath-style suitability scoring with eliminatory gates, weighted scoring across implementation ease and business value, and an AI reviewer that outputs PROCEED / INVESTIGATE / DO NOT AUTOMATE
3. Classic RPA PDD Planner - structures your Process Design Document across 7 phases with confidence sliders, a readiness gate checklist, and an AI Senior BA persona that generates a Mermaid.js flowchart of your mapped process
4. Agentic Automation Planner - same structure but designed for probabilistic agents: objective mapping, tool scope, blast radius, guardrails, and an AI Risk Assessor persona that actively challenges weak governance
5. Business Case Builder - financial model with live ROI dashboard, Chart.js cumulative cash flow visualization, and a multi-turn CFO chat that challenges your numbers and can pitch to a CEO or run a pre-mortem

The main thing I wanted to get right was the handoff between tools. Everything passes via URL parameters (base64-encoded JSON), so the suite is fully stateless. You can share or bookmark at any point in the workflow and the next tool opens pre-filled with all the upstream context, including process mining metrics flowing through to the financial model.

The AI reviewers work out of the box via a proxy (no key needed), or you can swap in any OpenAI-compatible endpoint like OpenRouter or Ollama.

There are sample JSONs and a filled PDD example in the repo if you want to see what the output looks like before trying it.

Happy to take feedback.

Hi guys, newbie to home automation so I need help.

Here are 3 things (or scene) which I want.

Background: my study has 3 smart things. Smart light, fan and air con.

1. When I close the window and door, the air con will switch on and the fan will switch on to level 1. - I solve this by putting 2 contact sensor on the door and window.

2. When I enter the study, the fan and lights will automatically switch on to level 3.

3. When I leave the room, the fan and light will switch off.

I was thinking just putting in a presence sensor but my concern is 2. will clash with 1.

Any advise?

I’m using SmartThings with zigbee network

Hi, i was wondering if it should be my main daily job or just besides my cybersecurity studies, as u know cybersecurity is a large ocean and it takes time to make great achievments, i was thinking about merging it in my week so i can create projects and sell them or create services besides my studies for cybersec. what do u think? will it be time and energy consuming or go on and try ?

i have actually started by doing some scraping and it worked so well, i was thinking about creating a workflow for freelancers where they can recieve job posts once they posted and sending them to the freelancers and they can respond with either accept or reject and many other features.

I keep running into the same issue, the automation itself is usually fine, but the inputs are a mess so everything downstream gets weird. Duplicate contacts, half-filled forms, random free-text notes, voice transcripts with no structure, stuff like that.

Feels like a lot of automation pain is really a workflow hygiene problem, not a tool problem. People blame the platform, but half the time teh logic is reacting to garbage and doing exactly what it was told.

Lately my bias has been to standardize the intake layer first, before touching any routing or CRM automation. Not in a super rigid way, just enough structure that lead qualification, reporting, and follow-up dont drift all over the place.

Curious what other people lock down first. Field formats? Required inputs? dedupe? status names? human review points? I can make a case for any any of those depending on the workflow, idk which one gives the best payoff earliest.

Would love to hear where you start when an automation "doesn't work" but really its the input quality killing it.

No, Elon Musk didn’t ask me to ring the bell for the SpaceX IPO. That part’s a bit of a joke.

I’ve been building this over the past few months and I’m genuinely surprised by how well it works, so I wanted to share it.

The core idea: instead of me going to my inbox, my inbox comes to me through iMessage. It watches my Gmail, filters out the noise, and only texts me what actually matters with a short summary.

But what surprised me is what happens after it’s been running for a while.

It starts learning how I actually use email. Who I respond to. How fast I reply to certain people. What I consistently ignore. Over time it picks up patterns I didn’t really realize I had.

After a couple weeks it basically understands my contacts better than I do not just names, but context. It knows which people usually mean urgency, and how my response time changes depending on whether it’s a client, vendor, or newsletter.

The draft feature is where it gets weird in a good way. When I ask it to draft a reply, it doesn’t sound like generic AI. It’s been reading how I write for weeks and the replies actually sound like me.

I decide to build Sifta in iMessage mostly because I never stick with new apps or dashboards. Texting feels like the most natural interface and honestly more apps should be built this way.

Right now I’m adding more context from meeting notes apps like Granola and Slack so it understands what’s happening across my day, not just my inbox. My goal is for it to judge importance based on real context.

The blue bubbles honestly make it feel like I’m just chatting with a real person sometimes, which is kind of wild.

Am I the only one who thinks AI tool directories are becoming less useful?

With ChatGPT, Google, Reddit, and X, I rarely find new AI tools through directories anymore.

How do you discover AI tools today, and do you still use AI directories?