Appaca – AI Workspace for Operators
Appaca is my third pivot. A couple of years ago, I started working on an idea on no-code platform that generates code. The goal is to help devs and agencies ship products faster for their clients. I went through Antler startup accelerator and got initial funding. I was working on the right problem, but wrong solution. Instead of no-code, I should have jumped into LLM a lot earlier. I felt defeated when Lovable, Base44, and Bolt came out strong, showing the world what LLMs can do in software development. No one cared about my product anymore. I pivoted my startup second time after that, to an…
In plain words
Appaca is an AI workspace platform designed for operators who want to build and deploy monetizable AI agents. The product helps users create, manage, and launch AI agents without requiring extensive technical expertise. It targets entrepreneurs and businesses looking to develop AI-powered solutions they can commercialize. The platform emerged from multiple iterations focused on solving the problem of faster product development using AI capabilities.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Appaca is my third pivot. A couple of years ago, I started working on an idea on no-code platform that generates code. The goal is to help devs and agencies ship products faster for their clients. I went through Antler startup accelerator and got initial funding. I was working on the right problem, but wrong solution. Instead of no-code, I should have jumped into LLM a lot earlier. I felt defeated when Lovable, Base44, and Bolt came out strong, showing the world what LLMs can do in software development. No one cared about my product anymore. I pivoted my startup second time after that, to an AI agent builder for businesses. After my first MVP launched, I got some decent tractions with that. A lot of people wanted to make AI agents that they can monetise. So, I focused on making a platform that helps them build and ship monetisable AI agents. The product made some revenues, but the churn was super high. Later, more mature companies like Zapier and N8N started their AI agents. My competitors in the US and Europe are raising serious money. As a solo founder in Australia, I couldn't get the funding to compete with them. I realised some of my users are using it for their internal operations. So, my last pivot before running out of my current runway is Appaca. With my experience building an app builder to AI agent builder, I rebuilt the entire platform and make it an AI workspace where the team can build and run their internal ops tools by chatting with AI, and connect tools with their existing system. This space seems a bit competitive as well. But, I have a conviction that Appaca can be the platform people use to run their businesses. Appaca is different from general vibe coding tools. The goal of Appaca is to give users a user experience, rather than a builder experience. All apps built on Appaca runs directly in the platform without any concept of hosting, deployment or bug fixing. I want people who use Appaca to feel like the platform itself evolves and adapts to the way they work. Each tools they created should feel like it's part of Appaca. It's still in a very early stage. I am currently working on the right positioning and messaging. I hope you give it a go, and please let me know your honest thoughts. Thanks.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, June 2026
the whole month →
Fundraisly▲1,544AI fundraising agent that finds investors and books meetings
AI · Jun 2026 · fundraisly.com
- H6Homebrew 6.0.0▲1,481
Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
- PU
hope you enjoy
Life & fun · Jun 2026 · vorpus.github.io


- IM
Life & fun · Jun 2026 · hackernewstrends.com