eonist

How much does a aliminum maschine that can make small aliminum parts cost?

For a small CNC machine that can reliably cut aluminum parts, you’re typically looking at roughly 1,500–30,000 USD depending on whether it’s hobby‑grade or industrial.[^1_1][^1_2]

Typical price ranges

• Very cheap hobby routers that can “just about” do aluminum: about 400–900 USD, often from AliExpress/Amazon style vendors.[^1_3][^1_4][^1_5]
• Entry‑level, metal‑capable CNCs (small routers/mills): about 1,500–2,500 USD, suitable for light aluminum work if you keep cuts conservative.[^1_6][^1_7][^1_2]
• Mid‑range desktop/benchtop CNC mills for aluminum: about 3,000–6,000 USD, with much better rigidity and reliability for small precision parts.[^1_8][^1_9][^1_2]

eonist

You and Prastik are threading a really sharp needle here. Let me reflect back what I think is crystallizing — because this conversation has actually built a coherent thesis over the course of the day.

The "Emerge" Thesis

What you've outlined is not just a bike company. It's a philosophy applied to hardware:

1. Openness is the moat — Prastik nailed it. It feels copiable but actually builds trust and adoption at scale. Nobody forks a bike company because the hard part isn't the design — it's the capital, the supply chain, the brand, and the trust. USB-C won because the EU forced it. Repairable e-bikes will win for the same structural reason. repair

2. Capital as moat, deployed incrementally — your 10 → 50 → 100 bike ramp is the anti-VanMoof playbook. VanMoof raised $128M and burned it on proprietary R&D and global logistics before product-market fit was proven. You raise at each stage only what you need, because standard com

eonist

Yes, absolutely — this is a well-trodden path and it works cleanly. Here's exactly how the chain connects.

The Pipeline: GitHub Action → Self-Hosted Runner → OpenClaw

The flow is straightforward: scaleway

PR opened on GitHub
  → triggers GitHub Actions workflow
 → job runs on your self-hosted Mac Mini M4 runner

eonist

Great question. The current Bloxwap mechanic — tap $1 per block, hope the price touches a barrier within one second — is essentially a coin flip dressed up as a rhythm game. Here are concrete game modes that layer genuine prediction skill on top of that foundation: coingecko

Chart Pattern Prediction Mode

Instead of tapping blindly, show players a partial candlestick or tick chart and ask them to draw the next N seconds of price movement with their finger. Score players on how closely their drawn path matches the actual price trajectory using a curve-similarity metric (like Dynamic Time Warping). This rewards traders who can read momentum, support/resistance levels, and volatility patterns — skills that real traders actually develop. trustwallet

Multi-Timeframe Thesis Mode

Give players a "thesis builder" screen before each round where they set:

eonist

Recraft is one of the most potent emerging threats to Superside's model. Here's why it's particularly dangerous compared to the other AI tools mentioned earlier.

What Recraft Is

Recraft is an AI-powered design platform founded in 2022 and headquartered in San Francisco, with only 1–10 employees. It raised a $30M Series B led by Accel in May 2025 (total funding: $42M), with backing from Khosla Ventures, Madrona Ventures, Nat Friedman, and Elad Gil. Despite its tiny team, it's positioned as one of the top-ranked text-to-image models available. recraft

Why Recraft Is Uniquely Threatening to Superside

Unlike Midjourney or DALL·E, which produce flat raster images, Recraft generates editable vector graphics — SVGs, icons, logos, and illustrations that designers can actually scale, recolor, and modify in their workflows. This is a critical distinction because: [oreateai](https://www.oreateai.com/blog/recraft-ai-navigating-your-creative-toolkit-in-2025-and-beyond/d6f7cbcd15d27b

eonist

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Conduit Today and in the Future

Conduit v1 → MCP + Figma Plugin (available today) — Designer

• 100% Figma access (best in class / industry-leader)
• Instant AI edit (best in class / industry-leader)
• Deep import/export (best in class / industry-leader)
• Advanced website export — page, theme, viewport (best in class / industry-leader)

eonist

Superside (superside.com) is an AI-powered creative-as-a-service platform that uses AI to accelerate and scale design and marketing work for enterprise brands. Here's how they apply AI: superside

AI-Enhanced Design Services

Superside combines AI-certified creative talent with over 40 AI-powered workflows to deliver design work faster and at scale. Their team uses generative AI tools like Midjourney, ChatGPT, Leonardo.ai, and others throughout the creative process — from brainstorming and concepting to final production. This has resulted in a 70% faster turnaround from creative development to delivery. superside

Key AI Use Cases

• Custom image libraries — generating large volumes of unique, on-brand visuals (e.g., 3,300+ image components for a single project) superside
• Ad design at scale — rapidly producing and iterating on ad creatives acros

eonist

This is a fascinating and timely question. Here's a breakdown of the Fortune 500 companies and categories most vulnerable to decline if AI automates the bulk of white-collar work.

IT Services & Outsourcing Firms

These companies are arguably the most exposed, as their entire business model is built on selling human labor hours for knowledge work:

• Accenture – Already cut 11,000 jobs while pivoting to AI, but its revenue depends on deploying large teams of consultants and IT workers. When AI agents can replace a $3,000/month offshore developer at $500/month, the headcount-driven revenue model breaks down. linkedin
• Cognizant, Infosys, Wipro, TCS, HCLTech – Indian IT giants saw stock plunges of 4–8%+ in a single day after Anthropic announced enterprise AI automation features. Their core model—deploying large offshore teams for coding, testing, and back-offic

eonist

Yes, this feature is absolutely buildable — the spec, the API surface, and the existing Omni architecture all line up cleanly. Here's my assessment across both the feature itself and AFM compatibility.

Feature Feasibility

The core mechanism is straightforward: a single POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews that atomically submits a summary, a verdict (APPROVE / REQUEST_CHANGES / COMMENT), and an array of inline comments each pinned to a path, line, and side . Omni already has the GitHub OAuth identity and write capabilities in githubWrite.ts, so the API plumbing is an extension of what exists .

The UX spec in the issue comments maps directly onto the existing PRView component tree — adding a ReviewList in the sidebar, a ReviewDetailView in the DetailsPanel, and inline annotations on the DiffViewer . The changes needed are well-scoped:

eonist

Why We Think Automagic Actions + Human in the Loop is the Future of Git

While vibe code can automatically commit and make PRs, it has its fair share of downsides:

1. Excessive commits on every little thing. 100 commits when a human would need only 10. Especially when instructed to correct things after the fact.
2. Diff-based commit descriptions missing important holistic project knowledge.
3. AIs have limited context windows to deep dive into the intent of the code that was changed.