1artifactware

Customized software for small and medium enterprises that is wholly American-based and focused on top-notch engineering.

[1artifactware @1artifactware]

So theres hope

[Hereafter @idyllicmusing]

+ As attractiveness increased, the income boost from IQ diminished or flattened. Very attractive men earned well regardless of IQ.
+ Self-employed men were rated as significantly more attractive than employed (salaried) men.
+ Each one-unit increase in attractiveness score boosted the probability of men starting their own business by about 10.45% (marginal effect reported in popular summaries/derivations of the models).
+ Among self-employed men, higher attractiveness correlated with higher incomes. The premium was steeper for entrepreneurs than for salaried workers.
+ For less attractive self-employed men, higher IQ was strongly linked to higher income.

[1artifactware @1artifactware]

@stevibe @grok is it true what the tiktok users posted how paying in yen is cheaper than going on their english checkout pages

[1artifactware @1artifactware]

Just launched https://t.co/ZC9Eg5pRyO a fully AI-generated air fryer portal:
Keyword research
Autonomous content generation
Layout with MiniMax M2.7 + PrimeNG
Images with FLUX.2 Klein
Static Angular SSG
80+ pages generated in one go.
Goal is simple: test how well AI-generated content performs in the English recipe niche.
Will track rankings and traffic over the next weeks.

[1artifactware @1artifactware]

Day #1 - some keywords are starting to rank. One on positions 11 another 88. I'm starting to register some small traffic. Pushing a 100 more pages to the portal.

[1artifactware @1artifactware]

Built a new experiment: atrakcje
An AI-powered Polish tourism website that generates full pages automatically.

9,800+ tourism keywords
Research → content → layout (PrimeNG) → images (FLUX.2 Klein) → static Angular site
All done through a LangGraph pipeline

Goal is simple: see if heavily AI-generated content can still rank and bring real search traffic in 2026.
Site is live. Will track how it performs over the next weeks.

https://t.co/ghvp6OT08Y

[1artifactware @1artifactware]

Built a new experiment: atrakcje
An AI-powered Polish tourism website that generates full pages automatically.

9,800+ tourism keywords
Research → content → layout (PrimeNG) → images (FLUX.2 Klein) → static Angular site
All done through a LangGraph pipeline

Goal is simple: see if heavily AI-generated content can still rank and bring real search traffic in 2026.
Site is live. Will track how it performs over the next weeks.

https://t.co/ghvp6OT08Y

[1artifactware @1artifactware]

Give me the take home assessment over a 15 minute write a distributed cache in a web ide that doesn't even have intellisense

[Adam Karpiak @Adam_Karpiak]

“Congrats! We’d like to move you forward to the 4th round. The next step is a take-home assignment (should only take 20 hours) and a presentation…”

[1artifactware @1artifactware]

@VinciRSS It's crazy the kind of money they got for marketing it every single time. Once you try it you realize their models are not that special at all

[1artifactware @1artifactware]

Rebirth – my secure AI coding swarm.
Prompt → isolated K8s pod → full git flow → clean PR.
No shell. No exfil.
Currently JavaScript/Node.js only. More languages coming soon.
Looking for serious testers who actually want control + security.

[1artifactware @1artifactware]

Just analyzed a full mission trace in Jaeger.

Total end-to-end time: 48.74 seconds
Pod startup + initialization: ~3 seconds

Actual agent execution (planning, tool calls, verification, git ops): ~45 seconds

The Kubernetes + Bun runner starts quickly. The majority of the time is spent in the LLM reasoning loops and tool execution cycles.

This is the kind of visibility I want when building agentic systems. Clear, measurable traces instead of black-box magic.

Rebirth is still early, but the foundation is solid.
Demo: https://t.co/HqBNG7xAk7

[1artifactware @1artifactware]

I built Rebirth.

It’s an AI-powered coding swarm that takes a natural language prompt, spins up an isolated Kubernetes runner pod, plans and writes code, runs verification, and opens a clean GitHub Pull Request with proper git flow (main → dev → feature/version).

Key details:

Runner pods peak at roughly 130 MiB of memory
No shell access, no arbitrary command execution, no filesystem exfiltration surface

Only two allowed operations: verify and build

Static output only (no runtime servers or SSR in hosted previews)

Human-in-the-loop by design - every change goes through a PR that you review before merging

Architect model plans and delegates, Worker models execute specific tasks

Fully self-hostable on Kubernetes

Runs efficiently on lower-cost models via OpenRouter (currently using StepFun and similar)

I built this because I got tired of AI coding agents that demand broad access to your machine, read sensitive files, or execute untrusted code without guardrails.

Rebirth was designed from the ground up to minimize risk while still delivering real, usable output.

Live demo: https://t.co/HqBNG7xAk7

The project is still early. I may also add a simple hosted credits tier. If you’re a technical builder who values control, isolation, and transparency this one’s for you.

[1artifactware @1artifactware]

Thanks for asking!
Right now the custom AI content + SEO system is completely free. I built the entire platform myself and it's running on StepFun 3.5 Flash via OpenRouter (no paid tools or subscriptions needed).
I'm also working on expanding it using Rebirth. My safe AI coding swarm, to automatically generate full SEO-optimized websites from a single prompt. Happy to show you a demo or walk through how it works if you're interested.
https://t.co/RDqOfwcZgP

[1artifactware @1artifactware]

We built this entire website from a single natural language prompt in Rebirth, powered by models from @stepfun_ai

Introducing Debugger’s Cafe | Coffee + Code - a complete cyber-themed coffee shop experience featuring:

Smooth animations and interactive elements throughout

Drag-to-scroll photo gallery showcasing espresso art and cozy corners

Detailed origin story, milestones timeline, and team bios
Full menu with pricing and “Debug Specials”

Customer testimonials and philosophy section

This project highlights Rebirth’s secure architecture: isolated Kubernetes pods (peaking at ~130 MiB), full verification loops before any code is committed, human-in-the-loop oversight, and zero shell access - ensuring safe, reliable React output every time.

Live demo: https://t.co/n4ShGUbslr

Huge thanks to @stepfun_ai for the powerful models that made this possible in one prompt.

The Rebirth builder is open for testing. What type of website should we create next? SaaS landing page, local service business, portfolio, or something else? Drop your ideas in the replies.

[1artifactware @1artifactware]

We built this entire website from a single natural language prompt in Rebirth, powered by models from @stepfun_ai

Introducing Debugger’s Cafe | Coffee + Code - a complete cyber-themed coffee shop experience featuring:

Smooth animations and interactive elements throughout

Drag-to-scroll photo gallery showcasing espresso art and cozy corners

Detailed origin story, milestones timeline, and team bios
Full menu with pricing and “Debug Specials”

Customer testimonials and philosophy section

This project highlights Rebirth’s secure architecture: isolated Kubernetes pods (peaking at ~130 MiB), full verification loops before any code is committed, human-in-the-loop oversight, and zero shell access - ensuring safe, reliable React output every time.

Live demo: https://t.co/n4ShGUbslr

Huge thanks to @stepfun_ai for the powerful models that made this possible in one prompt.

The Rebirth builder is open for testing. What type of website should we create next? SaaS landing page, local service business, portfolio, or something else? Drop your ideas in the replies.

[1artifactware @1artifactware]

I built Rebirth.

It’s an AI-powered coding swarm that takes a natural language prompt, spins up an isolated Kubernetes runner pod, plans and writes code, runs verification, and opens a clean GitHub Pull Request with proper git flow (main → dev → feature/version).

Key details:

Runner pods peak at roughly 130 MiB of memory
No shell access, no arbitrary command execution, no filesystem exfiltration surface

Only two allowed operations: verify and build

Static output only (no runtime servers or SSR in hosted previews)

Human-in-the-loop by design - every change goes through a PR that you review before merging

Architect model plans and delegates, Worker models execute specific tasks

Fully self-hostable on Kubernetes

Runs efficiently on lower-cost models via OpenRouter (currently using StepFun and similar)

I built this because I got tired of AI coding agents that demand broad access to your machine, read sensitive files, or execute untrusted code without guardrails.

Rebirth was designed from the ground up to minimize risk while still delivering real, usable output.

Live demo: https://t.co/HqBNG7xAk7

The project is still early. I may also add a simple hosted credits tier. If you’re a technical builder who values control, isolation, and transparency this one’s for you.

[1artifactware @1artifactware]

I connected 1artifactware Marketing, our multi-channel advertising platform, directly to a custom-built AI agent designed specifically for SEO content creation.

The agent doesn’t just pull random keywords. It intelligently scouts the keyword graph, identifies promising seed candidates, builds hierarchical topical clusters with volume and competition metrics, applies strict buyer intent filters based on our actual services (custom software development, cloud-native applications, integrations, and modernization projects), and then auto-generates full, high-quality SEO articles ready for publication.

For example, in Cycle 7 (the cycle from the screenshot shared), the agent approved the cluster “digital transformation consulting” (vol: 1,900, comp: 12) after thorough scouting, graph exploration, and intent validation. The approved clusters are turned into published guides like this one:
https://t.co/iRFyXk9q5h

This is the real power of the system: it finds defensible, high-potential topics that actually align with what we deliver, then produces comprehensive pillar content with structure, examples, tables, and clear calls-to-action. All with minimal manual effort. The agent is evolving into a true content engine that powers our entire marketing strategy at 1artifactware.

Raw Cycle 7 log attached.
#AI #SEO #ContentGeneration #AIagents #buildinpublic

[Ahrefs @ahrefs]

✨ Your new co-writer knows SEO.

[1artifactware @1artifactware]

@SeyerHasan @stableAPY @ryanvogel no it's not you just need to add your credit card why are yall gatekeeping free webhosting. shills

[1artifactware @1artifactware]

It breaks complex tasks down using a two-tier agent system:
Architect (stronger model like Claude or StepFun) does the planning, breaks the task into smaller pieces, reviews work, and decides what to delegate.
Workers - lighter/faster models that actually execute the tasks (read files, edit code, run verification, etc.).

The Architect can spawn multiple workers in parallel, and there's a verification step (build + test/coverage + lint) before anything gets committed. If tests fail, it loops back and tries to fix.Everything runs in isolated K8s pods, so one bad worker doesn't take down the whole thing.
It’s not magic. It still needs good prompts and human review on the final PR but it handles fairly complex features surprisingly well because of the planning + verification loop.

[1artifactware @1artifactware]

I built Rebirth.

It’s an AI-powered coding swarm that takes a natural language prompt, spins up an isolated Kubernetes runner pod, plans and writes code, runs verification, and opens a clean GitHub Pull Request with proper git flow (main → dev → feature/version).

Key details:

Runner pods peak at roughly 130 MiB of memory
No shell access, no arbitrary command execution, no filesystem exfiltration surface

Only two allowed operations: verify and build

Static output only (no runtime servers or SSR in hosted previews)

Human-in-the-loop by design - every change goes through a PR that you review before merging

Architect model plans and delegates, Worker models execute specific tasks

Fully self-hostable on Kubernetes

Runs efficiently on lower-cost models via OpenRouter (currently using StepFun and similar)

I built this because I got tired of AI coding agents that demand broad access to your machine, read sensitive files, or execute untrusted code without guardrails.

Rebirth was designed from the ground up to minimize risk while still delivering real, usable output.

Live demo: https://t.co/HqBNG7xAk7

The project is still early. I may also add a simple hosted credits tier. If you’re a technical builder who values control, isolation, and transparency this one’s for you.