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Article URL: https://benjaminsmallwood.com/blog/creating-and-hosting-a-static-website-on-cloudflare-for-free/

Comments URL: https://news.ycombinator.com/item?id=46947108

Points: 1

# Comments: 1

Article URL: https://github.com/jim11662418/ESP8266_WiFi_Analog_Clock

Comments URL: https://news.ycombinator.com/item?id=46947096

Points: 1

# Comments: 0

Article URL: https://blog.alpindale.net/posts/5090_decode_optimization/

Comments URL: https://news.ycombinator.com/item?id=46947094

Points: 2

# Comments: 1

Vivideo focuses on the most basic form of AI video creation, with a very simple UI/UX that avoids complexity. The goal is to make the process easy to understand and approachable.

Users can generate videos, then edit and extend them step by step.

Shared early to learn from real use and feedback.

[https://vivideo.ai](https://vivideo.ai)

Comments URL: https://news.ycombinator.com/item?id=46947089

Points: 1

# Comments: 0

Hey HN, We built ClawdTalk to let AI agents operate over live phone calls.

Most agents today live in chat windows. The moment you try to use them over voice, things break: latency matters, interruptions happen, and the agent has to execute tools while the conversation is still live.

ClawdTalk connects your Clawdbot to the phone network. The agent gets a real phone number. It can make and receive calls and run the same tools it uses in chat, but under real-time voice constraints.

One of the reasons this is hard is infrastructure. Many voice stacks stitch together separate telephony, speech, and model APIs. Each hop adds latency, and people report 8–30 second round trips.

We got it under ~3 seconds by running the full voice path ourselves. Telnyx (my employer) is a telecom carrier, and we run PSTN, STT, and TTS on our infrastructure. No middlemen.

How it works: 1. Connect your OpenClaw agent to ClawdTalk 2. We provision a phone number 3. Inbound/outbound calls route directly to the agent 4. The agent executes tools mid-conversation

Limitations: 1. Latency still depends on your LLM (we control voice, not inference) 2. US numbers only for now (international coming) 3. Not a new agent framework (OpenClaw only today)

Demo number: +1-301-MYCLAWD (692-5293) (call to talk to the agent) Happy to answer questions about the architecture or telephony side.

Comments URL: https://news.ycombinator.com/item?id=46947087

Points: 3

# Comments: 0

Article URL: https://www.nextplatform.com/2026/02/08/the-twin-engine-strategy-that-propels-aws-is-working-well/

Comments URL: https://news.ycombinator.com/item?id=46947076

Points: 1

# Comments: 0

Article URL: https://michal.sapka.pl/weblog/2026/my-new-mobile-phone/

Comments URL: https://news.ycombinator.com/item?id=46947075

Points: 1

# Comments: 0

Hi HN — I built CityTitles, a live marketplace where AI agents can bid/buy/sell “city titles” (cities) and compete on a public leaderboard.

Core loop: - auctions + buy-now + secondary listings - public agent leaderboard (real DB data) - weekly holding tax (charged to whoever owns the city at Fri 23:59 Europe/Madrid) + transparent debt/penalties

Live web app: https://citytitles-web.onrender.com Public leaderboard (JSON): https://citytitles-backend-z95u.onrender.com/api/public/agen...

I’m looking for feedback on: agent API ergonomics, game design (status/HQ city concept), and anything that would make third-party agents adopt it faster.

Comments URL: https://news.ycombinator.com/item?id=46947073

Points: 1

# Comments: 2

Article URL: https://www.solvimon.com/blog/the-split-stack-billing-problem

Comments URL: https://news.ycombinator.com/item?id=46947064

Points: 1

# Comments: 0

Article URL: https://arstechnica.com/space/2026/02/to-reuse-or-not-reuse-the-eternal-debate-of-new-glenns-second-stage-reignites/

Comments URL: https://news.ycombinator.com/item?id=46947061

Points: 1

# Comments: 0

I've been thinking a lot about what trust looks like on the internet when identity itself creates risk.

Most social platforms treat identity as the foundation of trust. Profiles, histories, and reputations are meant to keep people accountable. In practice, they also make speech permanent and attributable, which raises the long-term cost of being honest — especially about work, power, early ideas, or opinions that aren't fully formed yet. When words can be tied to a name forever, people hesitate. They self-censor. They choose safer versions of what they actually think.

I built PlainSpeech to explore a different approach: trust through constraints rather than identity. It's an anonymous, ephemeral discussion layer where posts expire by default, identities are scoped to a single thread, and there are no profiles, follower graphs, or reputational scores.

A key part of this is intentional trust. Alongside public discussions, the app lets anyone create a gated topic — a private space unlocked using a shared secret (TOTP-style). Only people with that secret can read or participate. Within these spaces, everyone remains anonymous, and nothing persists by default. Instead of tying trust to who you are, trust comes from who you choose to share access with.

The goal isn't to remove accountability, but to make consequences finite, contextual, and proportional. When identity and permanence aren't the default, people tend to speak more candidly — not because they're unaccountable, but because the future cost of being wrong is no longer infinite.

The product is early, and some limits are deliberate. What’s stood out is how differently people talk when they know their words won’t follow them forever, and when trust is something they choose rather than something the system infers.

I'm sharing this here to get feedback from people who care about systems, incentives, and how trust actually forms online — not to optimize for growth or virality.

Link: https://plainspeech.app

Comments URL: https://news.ycombinator.com/item?id=46947047

Points: 2

# Comments: 0

Article URL: https://www.santoshyadav.dev/blog/how-ai-is-changing-my-development-workflow-and-i-am-excited-about-it/

Comments URL: https://news.ycombinator.com/item?id=46947038

Points: 1

# Comments: 0

Article URL: https://github.com/evinjohnn/natively-cluely-ai-assistant

Comments URL: https://news.ycombinator.com/item?id=46947012

Points: 1

# Comments: 1

Article URL: https://www.haproxy.com/blog/haproxy-security-audit-results

Comments URL: https://news.ycombinator.com/item?id=46947008

Points: 1

# Comments: 0

Article URL: https://nolanlawson.com/2026/02/01/15-years-of-blogging/

Comments URL: https://news.ycombinator.com/item?id=46947000

Points: 1

# Comments: 0

Deal highlights growing strategic importance of the UAE as global technology firms race to scale cloud, AI and digital services across the region

Article URL: https://plausiblegame.com/en

Comments URL: https://news.ycombinator.com/item?id=46946287

Points: 1

# Comments: 0

Article URL: https://www.robert-glaser.de/the-elastic-loop-introducing-agentic-engineering-strategically/

Comments URL: https://news.ycombinator.com/item?id=46946282

Points: 1

# Comments: 0

I’ve been obsessed with a specific problem in AI video: the transition mess. Most models today (Sora, Kling, etc.) are great at generating a single pretty shot, but as soon as the camera moves or the scene changes, the physics fall apart and the visuals start warping into nonsense.

After testing the new Seedance 2.0 models from ByteDance, I noticed they handle scene changes differently. It feels like the model actually understands "editorial logic"—likely because ByteDance (the team behind CapCut/TikTok) trained it on professional editing patterns, not just raw pixels.

I built aiseedance2.app to experiment with this "narrative-first" workflow.

The Current Setup: The Seedance 2.0 API is still in a closed rollout, so I’ve launched this playground using Seedance 1.5 Pro as the engine for now. Even with 1.5 Pro, the temporal consistency and "shot flow" are significantly better than what I've seen in other models. I’ll be migrating to the 2.0 multi-modal reference system the second it's fully public.

Why this matters: If we want AI video to be used for actual filmmaking, the model needs to understand how to "cut" like a human editor. Seedance seems to be the first one to get this right.

I’d love to get your thoughts on the "flow" of these generations.

Comments URL: https://news.ycombinator.com/item?id=46946280

Points: 1

# Comments: 0