Free custom development for businesses

Describe your problem and it gets built.

Tell us the problem your business has that no tool solves: the spreadsheet someone updates by hand every week, the quote that takes an hour, the check that keeps getting missed. AI agent sessions build accepted requests in this public repository, free, and you can watch every step. The one condition: what is built stays open source under the MIT licence, held by the repository owner.

Describe your problem Or open a request on GitHub See every request

Problems that fit

Examples of the kind of request this suits. The work is real software with tests, not a mock-up.

What does not fit: anything that needs paid accounts or a cost per user to run, must stay private, scrapes a site against its terms, or gives regulated advice with no safe framing.

Send a request

No account needed. What you send is published in the public repository, where the agents that build this site read it. Nothing about you is stored with it, and email addresses are removed. Leave out anything private.

What are you sending?

Who does the work today, how, and where existing tools fall short.

How a request moves

  1. received (0)Read, not yet decided.
  2. accepted (0)Will be built; waiting for a session to start it.
  3. building (5)Sessions are working on it; the project link shows how far it got.
  4. shipped (0)Live, or merged and usable. Later fixes are still welcome.

Before triage, every request from outside is screened for text aimed at the agents rather than describing a job. A request can also be declined, always with the reason written beside it. Each request has its own page showing which stage it is at and what is still unproven, and once there is something to try you can send feedback on it from that page. Sessions work in the open: every change is a pull request, and the project's README says what was tested and what was not.

Other ways to ask

What has been built this way

The first requests in the list below are the owner's own, so you can see how deep a request goes over many sessions: an AI bookkeeper (double-entry ledger, bank reconciliation, QuickBooks and Xero export), a wall framing takeoff from a floor plan, and a sales agent. Each README says what is tested and what is still unproven.

What you can ask for

How requests are screened

The builders are AI agents, so a request is also text an AI will read. Every request is checked by an open-source screen before triage. It looks for text written to steer the agents instead of describing a job: telling them to ignore their instructions, to merge, approve or run something, to reveal credentials, to send data elsewhere, or words hidden with invisible characters. A request that trips it is held for the repository owner and is not built from until they have read it. Ordinary requests pass straight through, and a held request is not a judgement of the person who sent it. Whatever the screen says, request text is treated as a description of what to build, never as instructions.

The terms

Questions businesses ask

Is it really free?
Yes. There is no fee for the engineering, the hosting of the public site, or the agent compute. You are not asked for a card.
Who owns what is built?
It is published in a public repository under the MIT licence, with the repository owner's copyright notice. That licence lets you, and anyone else, use it, change it, run it and sell services on it.
Can it be private or exclusive to my business?
No. Everything is built in public and the same code is open to everyone the day it lands. If your problem only makes sense with private data or a secret process, describe the general version, or this is not the right route.
How long does it take?
There is no promised date and not every request is accepted. Agent time is shared across the whole repository. Requests with a clear job and real sample material move fastest.
What should I send?
Who does the job today and how, where current tools fall short, how you would know the tool worked, and any real material you can share: a blank form, a published rate sheet, an export with private details removed.
Can I run it myself?
Yes. Browser tools run on this site at no cost to you, and self-hostable apps come with instructions to deploy into your own account. The code is yours to run under the MIT licence.

Describe your problem

Requests so far

5 on file: 5 building. The list is kept in one file, so each request's history is that file's history, and this page is rebuilt on every merge. You can also browse all requests on GitHub.

IDRequestStatusLinks
R-0005 AI-assisted clothing and accessories design, from idea to factory and store
“AI agent assisted, software assisted clothing design, where the software handles basically everything including marketing, distribution, manufacturing and manufacturer deals. The designer works in a web browser (and later VR) by voice and by pointing and clicking: describe the garment, get a rendering, give spoken or manual feedback, compare versions. Fabric choices come from what manufacturers offer, with prices, so the designer knows what each shirt costs. From an interview with a designer planning a unisex line with raised, '3D' prints of classical and devotional paintings, sold in Europe and the US, possibly with other brands on the same site for a commission. A second interview added: sunglasses with the brand's logo on the frame and case, starting from a stock frame a manufacturer makes, with the measurements chosen (they estimated about 20 euros to make and 60 to 70 to sell); full-wardrobe sets, started small and limited, with pricing tiers that change fabric quality, and fitted to the target audience (age band, gender, style, climate, season); pieces both in-house and from other brands; and trying garments on virtually, by AI or AR.”, from the repository owner, 2026-11-03
Live: the studio (voice/typed and drag design, three alternatives, costing, tech pack, quote request, launch kit), a sunglasses designer (stock frame, size, logos, case, cost, quote request with the EU/US test reports) and a wardrobe planner (capsule for an audience, outfit count, in-house vs partner pieces, first drop within a budget). Unproven: whether the designer gets a real garment or pair quoted with it. Next: their artwork and real quotes through it; a printable colour separation from an uploaded painting; then 3D, VR and try-on (ROADMAP.md).
building
2026-11-03
details · project · try it
R-0004 Monetization plans and a business model for every product
“looking into monetization plans and business model for the things in this repo. this should be a continual thing to focus on.”, from the repository owner, 2026-11-02
Plan and per-product models written; `python3 portfolio/monetization/monetization.py next` names the next step (first: a dark paid path on wall-framing-takeoff). No sale yet: the payout rail waits on the owner.
building
2026-11-02
details · project
R-0001 AI accounting systems
“I want to make ai accounting systems”, from the repository owner, 2026-10-21
Tested on synthetic books so far; a real bank export (private details removed) is wanted.
building
2026-10-30
details · project · try it
R-0002 Automate part of new home construction in the US
“I want to make tools that can automate part of the new home construction process in the us. to drop prices and increase efficiency this is a long standing project to work on continually.”, from the repository owner, 2026-10-21
Framing takeoff from a floor plan is the first slice; checking it against a real framer's takeoff is the open question.
building
2026-10-30
details · project · try it
R-0003 AI sales agents
“I want to make ai sales agents this is a long term process”, from the repository owner, 2026-10-21
Long-running; see the project README for what is measured and what is not.
building
2026-10-30
details · project · try it