<img src='https://www.datocms-assets.com/64599/1771864414-thealyn-metal-fence-post-10-pack-xwwd.jpeg?h=125&w=125' style='float: left;vertical-align: top;margin: 0 8px 8px 0'><div class="snippet summary" title="It's the best price that Amazon has charged for ethis 10-pack."> <p>It's the best price that Amazon has charged for ethis 10-pack. Buy Now at Amazon </p> </div>
Save on almost 150 raised gardens coming into spring. Prices start at $29. We've pictured the Costway Natural Wood Rectangular Raised Bed Planter for $62.97 ($42 savings). Buy Now at Home Depot
Save on extension cords, cables, wiring, outlet multipliers, and more. We've pictured the Monoprice Enhanced Oxygen-Free Copper Loud Speaker Wire 12Awg 50 Feet for $40 ($21 off). Shop Now at Amazon
<img src='https://www.datocms-assets.com/64599/1771864248-bisupply-propane-torch-weed-burner-7mei.jpeg?h=125&w=122' style='float: left;vertical-align: top;margin: 0 8px 8px 0'><div class="snippet summary" title="It's the best price that Amazon has charged for this propane torch weed burner."> <p>It's the best price that Amazon has charged for this propane torch weed burner. Buy Now at Amazon </p> </div>
It's holiday themed and it's February, yes, but it's also $20 off and a great price for such a bathtub mat. Buy Now at Amazon
Target Circle members can earn a free $20 Target gift card with the purchase of $100 or more in diapers and wipes. (Not a member? It's free to join.) This offer ends February 28, 2026. Shop Now at Target
<img src='https://www.datocms-assets.com/64599/1771863892-apple-macbook-iphone-adguard-vctf.jpeg?h=125&w=125' style='float: left;vertical-align: top;margin: 0 8px 8px 0'><div class="snippet summary" title="Shop deep discounts on software, online courses, cloud storage, security tools, and memberships, including strong savings on programs like Microsoft Office Professional 2021 for Windows, along with deals on VPNs, AI tools, and learning platforms. We've pictured AdGuard Ad Blocker Lifetime Subscription for $14.97 - an 81% savings."> <p>Shop deep discounts on software, online courses, cloud storage, security tools, and memberships, including strong savings on programs like Microsoft Office Professional 2021 for Windows, along with deals on VPNs, AI tools, and learning platforms. We've pictured AdGuard Ad Blocker Lifetime Subscription for $14.97 - an 81% savings. Shop Now at StackSocial </p> </div>
Target Circle members can add three or more select soda 12-packs, and get 3 for $16 at checkout (if you're not a Target Circle member, it's free to sign up). Prices start at around $8 before the discount. This deal is available for pickup only and ends February 28, 2026. Buy Now at Target
It's the second-best price we've seen for an unlocked iPhone 14 Pro 128GB in any condition. It includes a 1-year Allstate warranty. Buy Now at eBay
At Canvas Champ, buy one custom bobblehead and get a second one for 85% off using promo code "BOGO85". Shop Now at Canvas Champ Features Sizes of 6" to 16" Acrylic stand
Hey HN, I built InfoSecList.com because I got tired of the way security teams evaluate tools.<p>Every time we needed a new DAST scanner or pentest vendor, it was the same drill: Google around, read SEO-optimized listicles written by people who never used the tools, sit through 3-5 sales demos, and hope for the best.<p>InfoSecList is a directory of 90+ cybersecurity tools and services across 21 categories. Every listing gets two scores from practitioners:<p>- Market Score (1-5): industry adoption and brand recognition - Value Score (1-5): actual value for money based on usage<p>You can browse by category (DAST, SAST, SCA, pentest services, bug bounty platforms, etc.), compare tools side-by-side, or look up alternatives to specific products.<p>A few things that might be interesting technically:<p>- Data lives in a Google Sheet, served via a PHP proxy as CSV, parsed client-side - Pages are dynamic SPA-style but with clean URLs for SEO - Each tool/alternative/category page generates its own structured data and meta tags from the CSV data at runtime - No framework, no build step. Plain HTML, CSS, vanilla JS<p>No accounts, no gated content, no pay-to-rank. Happy to answer any questions about the approach or the security tool landscape.<p>Stack: Apache, vanilla JS, Google Sheets as CMS, Let's Encrypt<p>Follow-up Comment (if asked about data/methodology)<p>The scores come from a combination of: - Gartner/Forrester positioning for Market Score - Community sentiment (Reddit, HN, security forums) for both scores - Direct practitioner feedback from CISOs and security engineers - Pricing transparency and free tier availability for Value Score<p>We deliberately keep it simple with two 1-5 scores rather than trying to build a complex weighted system. The goal is to help someone go from "I need a DAST tool" to a shortlist of 3-4 options in under 5 minutes.<p>Open source tools like Nmap, OWASP ZAP, and Trivy tend to score 5/5 on Value. Enterprise tools like CrowdStrike and Mandiant score 5/5 on Market but lower on Value due to pricing.<p>Follow-up Comment (if asked about business model)<p>Right now it's free with no monetization. Long term we're considering: - Featured listings (clearly marked, doesn't affect scores) - Lead gen for vendors (opt-in only, buyer initiates contact)<p>We won't do pay-to-rank. The scores stay independent.
Hey HN,<p>I built Settld because I kept running into the same problem: AI agents can call APIs, pay for services, and hire other agents - but there's no way to prove the work was actually done before the money moves.<p>The problem in one sentence: x402 tells you "payment was sent". Settld tells you "the work was worth paying for".<p>What it does<p>Settld sits between your agent and the APIs/agents it pays. It:<p>1. Intercepts HTTP 402 (Payment Required) responses 2. Creates an escrow hold instead of paying immediately 3. Collects evidence that the work was completed 4. Runs deterministic verification (same evidence + same terms = same payout, every time) 5. Releases payment only after verification passes 6. Issues a cryptographically verifiable receipt<p>If verification fails or the work is disputed, the hold is refunded. The agent gets a receipt either way - a permanent, auditable record of what happened.<p>Why this matters now<p>We're at a weird inflection point. Coinbase shipped x402 (50M+ transactions). Google shipped A2A. Anthropic shipped MCP. Agents can discover each other, communicate, and pay each other.<p>But nobody built the layer that answers: "was the work actually done correctly, and how much should the payout be?"<p>That's the gap. Right now, every agent-to-agent transaction is either "trust and hope" or "don't transact." Neither scales.<p>The x402 gateway (the fastest way to try it)<p>We ship a drop-in reverse proxy that you put in front of any API:<p>docker run -e UPSTREAM_URL=<a href="https://your-api.com" rel="nofollow">https://your-api.com</a> \ -e SETTLD_API_URL=<a href="https://api.settld.dev" rel="nofollow">https://api.settld.dev</a> \ -e SETTLD_API_KEY=sk_... \ -p 8402:8402 \ settld/x402-gateway<p>Everything flows through normally - except 402 responses get intercepted, escrowed, verified, and settled. Your agent gets a receipt with a hash-chained proof of what happened.<p>What's under the hood<p>The settlement kernel is the interesting part (and where we spent most of our time):<p>- Deterministic policy evaluation - machine-readable agreements with release rates based on verification status (green/amber/red). No ambiguity. - Hash-chained event log - every event in a settlement is chained with Ed25519 signatures. Tamper-evident, offline-verifiable. - Escrow with holdback windows - configurable holdback basis points + dispute windows. Funds auto-release if unchallenged. - Dispute → arbitration → verdict → adjustment - full dispute resolution pipeline, not just "flag for human review." - Append-only reputation events - every settlement produces a reputation event (approved, rejected, disputed, etc.). Agents build verifiable economic track records. - Compositional settlement - agents can delegate work to sub-agents with linked agreements. If a downstream agent fails, refunds cascade deterministically back up the chain.<p>The whole protocol is spec'd with JSON schemas, conformance vectors, and a portable oracle: <a href="https://github.com/aidenlippert/settld/blob/main/docs/spec/README.md" rel="nofollow">https://github.com/aidenlippert/settld/blob/main/docs/spec/R...</a><p>What this is NOT<p>- Not a payment processor - we don't move money. We decide "if" and "how much" money should move, then your existing rails (Stripe, x402, wire) execute it. - Not a blockchain - deterministic receipts and hash chains, but no consensus mechanism or token. Just cryptographic proofs. - Not an agent framework - we don't care if you use LangChain, CrewAI, AutoGen, or raw API calls. We're a protocol layer.<p>Tech stack<p>Node.js, PostgreSQL (or in-memory for dev), Ed25519 signatures, SHA-256 hashing, RFC 8785 canonical JSON. ~107 core modules, 494 tests passing.<p>What I want from HN<p>Honest feedback on whether this problem resonates. If you're building agent workflows that involve money, I want to know: what breaks? What's missing? What would make you actually install this?<p>GitHub: <a href="https://github.com/aidenlippert/settld" rel="nofollow">https://github.com/aidenlippert/settld</a> Docs: <a href="https://docs.settld.work/" rel="nofollow">https://docs.settld.work/</a> Quickstart (10 min): <a href="https://docs.settld.work/quickstart" rel="nofollow">https://docs.settld.work/quickstart</a>
Hi HN — I'm Jett, a solo founder operating across US/China/global markets.I built Global Solo because I kept running into the same problem: as a solo founder with income from multiple countries, an LLC in one jurisdiction, and time spent in another — I had no idea what my actual structural risk looked like. My CPA handled US filing, but nobody was mapping the full picture across entity structure, tax residency, banking, and documentation.So I built a diagnostic tool that does exac
Even Peter Steinberger who created OpenClaw said as much on Lex Fridman's podcast (https://www.youtube.com/watch?v=YFjfBk8HI5o around 2:38:59).<p>The whole premise of MCPs was that agents need some new standardized protocol to talk to tools, but CLIs already do this and they've done it for decades. They're backwards compatible with basically everything and LLMs already think in text in text out natively. No translation layer, no schema, no overhead. MCPs are genuinely a solution looking for a problem that CLIs solved 40 years ago.<p>I've been testing this myself and the results kind of speak for themselves. I pointed OpenClaw with Opus 4.6 at a 20k member subreddit with nothing but CLI access. No MCPs, no special integrations, just a model with a computer.<p>In one week it made two all time top posts, built insane karma (3k+) on a week old account, drove 70+ waitlist signups autonomously, attracted 300 inbox messages from strangers, and did it all with zero paid promotion. People gave the account reddit gold (actual money) because it was genuinely helpful.<p>No protocol made that happen. A CLI and a capable model did. The MCP crowd keeps stacking abstraction layers while agents that just use computers the way humans do are out here shipping real results. CLIs are the universal interface and LLMs just made that obvious.<p>I'm curious what this community thinks though. Am I wrong here? Is there a real use case for MCPs that CLIs genuinely can't handle?<p>Because from where I'm sitting, giving your agent a terminal is all you need.
I spent a bunch of years building Shopify subscriptions software, living in the land of failed payments, retries, and "if this breaks, it breaks real money." We built a lot of automation around recovery: intelligent retry logic, routing decisions, backoffs, and all the messy edge cases you only find at scale.When I started building AI/LLM features, I kept running into the same class of problems - except harder to reason about. Multiple providers, model quirks, intermittent failure
Since basically all chat apps pretend to save the data encrypted (they dont). I wanted an easy and convenient alternative. The chat server at threema has no storage and works since 13 years on an old ruby script. Since Gateway costs money and account creation is paywalled behind platform DRM (Apple Appstore / Google Play Store). The only right solution is to (miss)use the existing multi device functionality via qr code linking. Thanks to codex for helping me with this.
Not many people wake up and think, "I'd love to donate to a nonprofit today" with the same oomph that they think, "I'd love a coffee" or "I'd like to make more money."No matter how much effort we put into fundraising, donations grew linearly, while requests for care grew exponentially. I felt caught in the middle. After investing everything I had, I eventually burned out and transitioned to the board.I made a classic founder mistake and intertwined my
<a href="https://github.com/Mattbusel/Reddit-Options-Trader-ROT-" rel="nofollow">https://github.com/Mattbusel/Reddit-Options-Trader-ROT-</a><p>ICE, the company that owns the NYSE, just started selling "Reddit Signals and Sentiment" to institutional investors. Structured Reddit data for hedge fund money.<p>I built the same thing in 9 days. 165k lines. 6,916 tests. Zero CodeQL alerts. Yes I used AI to build it. No I'm not sorry about it.
With AI infesting and eating into all kind of crafts--and I being one of those faceless "craftsmen"--I'm rather forced to consider alternative jobs. Setting the monetary rewards aside, I was thinking of jobs that could give me a sense of agency, purpose, and satisfaction (however limited). The few I think of are:<p>- Parcels delivery driver<p>- Train driver<p>- Electrician or plumber<p>- Mechanic (with auto-mobiles hardly repairable these days, maybe this doesn't qualify)<p>Surely, I can't be alone in thinking along those lines. What else have you thought of?
Not birthday money, actual revenue, actual operations, actual problems to solve every day. I built the whole best French MC server alone because I was completely obsessed. It was a fcking amazing experienceAt 20, I co-founded a startup, we had 40 employees, and we went through Y Combinator. It was real scale, real chaos, and it taught me a lot in two years..Around 23, I started another one. Different industry, different vibe, but genuinely one of the best adventures I’ve had. The thing is, in pa