Alternatives
Products that do what Hawknet does
An API to turn any camera into a wildfire detector
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Starting today, DirectAI’s Zero-Shot Image Classification & Object Detection APIs are public. Define classes and objects exclusively in natural language - no training data required. And if something goes wrong, you can resolve the edge case in natural language too! We’ve been hard at work to bring powerful and controllable computer vision to everybody. To do this, we’re building novel ways of interacting with the knowledge stored in large foundation models. We’re bootstrapping from zero-shot methods to create new approaches that allow for more control over decision boundaries, without…
2023 · github.com
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Dear HN, this is Alex, cofounder of Moonvision, an Austrian based computer vision company. We started in 2017 tracking grilled chicken at the Oktoberfest Munich [1] and transitioned into automating visual inspections tasks. Our web tools are used by quality assurance experts to manage training data and create custom models without an external workforce. For such tasks and experts, the effort to label data is often prohibitive. Therefore, we built tools that work with low amounts of initial data. To train a new pipeline we cover the following 6 steps: - Video gathering - Object mining -…
2019
- 9TN
Telescope originally started as a ClickHouse-focused log viewer. But while building it, I kept running into the same pattern: when everything worked, logs were in ClickHouse. When things broke, logs were still inside Kubernetes. That gap led to adding Kubernetes as a native log source. This is not meant to replace proper log aggregation. Centralized storage with indexing and retention policies is still the right approach for production. But there are situations where aggregation doesn't help: the logging pipeline is broken, logs are delayed, or you're debugging locally and don't have a…
Feb 2026 · github.com
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Hi everyone! Here is an open source implementation of a decently performant server hosting zero-shot image models (CLIP for image classification, OWL-ViT-ST for object detection), with an extra algorithm to allow users to give the models feedback when they make mistakes! We built a company off this flavor of tech two years ago and have clients who are currently using our commercial API. We are now moving on to other projects but want to make sure our clients still have access to the approaches that they've grown to rely on, so we're open sourcing a simple implementation that they'll be able…
2024 · github.com
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I built a tool to roast landing pages with AI agents. I was gathering feedback from watching landing page roast videos, and figured out I could prompt LLMs to analyse a screenshot and roast based on the same criteria. It's not 100% accurate yet, but it has been really insightful when I've tested it on my own websites. Let me know what you think!
2024 · roastmylandingpage.io
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Hi. We just open sourced Bullet Train, a Feature Flag and Remote Config platform. It's a collection of tools: server API, admin front end and clients for a bunch of different platforms. Together they allow you to control feature flags and remote config across projects, environments and users. We realised that we were building ad-hoc feature flag stuff into individual projects over and over, so we had a look around to see if there was a way of doing this in a more formal manner. There are a few commercial solutions around but they were quite expensive and seemed to be aimed more at the…
2018
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I live in the South of France (Var region), where wildfires destroy our forests and endanger lives every summer. This project is my attempt to build a concrete, open-source tool to help firefighters.
Sep 2025 · github.com
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I recently created a little webapp when searching for a job on hackernews. Couldn't find a solution that allows for filtering based on multiple tags or similar, so I created one myself here: https://grburst.github.io/hnjobs Note that there are multiple limitations (firebase live only, only current month, not really mobile friendly, ...), little to no optimizations and potential bugs, but it was already a great help for me, so I am sharing it with you. I will however improve it a bit more, because it is a fun experience and I am trying out new frameworks I haven't worked with…
2024
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Hey HN, I built Blooming, a visual AI workspace where you drag-and-drop “nodes” (text, image, video) onto a whiteboard and chain AI text, image and video models together. It's kinda like n8n but for AI art: • Node-based canvas • Multi-model switching (test different models side by side and iterate multiple versions) • Pipe text or image output to other nodes to refine prompts, turn them into videos or explain images Demo link: https://youtu.be/TdFzhxeRFNg I’d love your feedback on UI clarity, performance, and which models to integrate next. What’s confusing or missing for AI…
2025 · blooming1000.com
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Hey HN, We built FireClaw because we kept watching AI agents get owned by prompt injection through web content. The agent fetches a page, the page says "ignore previous instructions," and suddenly your agent is leaking data or running commands it shouldn't. The existing solutions detect injection after the fact. We wanted to prevent it. FireClaw is a security proxy that sits between your AI agent and the web. Every fetch passes through a 4-stage pipeline: 1. DNS blocklist check (URLhaus, PhishTank, community feed) 2. Structural sanitization (strip hidden CSS, zero-width Unicode, encoding…
Mar 2026 · github.com
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Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.
Jun 2026 · agent-watch.dev
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Hello HN. I'm Maxime, founder at LimaCharlie (https://limacharlie.io), a Hyperscaler for SecOps (access building blocks you need to build security operations, like AWS does for IT). We’ve engineered a new product on our platform that solves a timely issue acting as a guardrail between your AI and the world: Viberails (https://www.viberails.io) This won't be new to folks here, but we identified 4 challenges teams face right now with AI tools: 1. Auditing what the tools are doing. 2. Controlling toolcalls (and their impact on the world). 3. Centralized management. 4. Easy…
Feb 2026 · viberails.io
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Hi HN I built a fun little tool: It uses Groq’s LLaMA 3.3 + Puppeteer to analyze a website Then it roasts the design/content/UX with humor And finishes with 3–5 genuinely helpful improvement tips You can try it here: https://ai-roast-vert.vercel.app I wanted to: Practice fast idea-to-launch cycle (built in 2 days) Experiment with a viral-friendly product Monetize with a $0.55 pro version that gives a detailed roast + download Would love your feedback — on the idea, the tone, the usefulness — anything! Thanks in advance
Sep 2025 · ai-roast-vert.vercel.app
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I built an open-source AIOps MCP (Monitoring & Control Plane) that detects anomalies in logs using Isolation Forest. It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes & Helm, and designed to plug into existing observability stacks. I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps/SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I…
2025 · github.com
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As an indie hacker, I used to spend hours creating landing pages for my side projects and SaaS. So, in the past few months, I built Webifier.io. It converts prompts into full blown landing pages that are customized for you. This includes: animations, custom sections, etc. You can then export a clean React/Next project. Can’t wait to hear what you think!
2024 · webifier.io
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I'm Fenil, co-founder/CEO of OpenFunnel (YC F24), building this with my co-founder/CTO Aditya. We're launching OpenBenchmarks (https://openbenchmarks.com), open-source, reproducible benchmarks for SaaS APIs, starting with the category we know best: GTM APIs. ## Why we built this More and more B2B software evaluation will/already runs through reasoning models inside agentic workflows rather than through people. And buyers increasingly pick vendors that are API-first and ship MCPs, so they can wire them into internal workflows. Strong reasoning models are skeptical of…
Jul 2026 · openbenchmarks.com
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Hi HN, We’re building https://www.switchpoint.dev – a drop-in replacement for OpenAI’s API that reduces LLM cost by smartly routing across models (e.g., Claude, Gemini, GPT-4) depending on subject and difficulty of the task. Why we built this: LLM costs are spiraling—especially for products doing retrieval, agentic reasoning, or even just high-volume chat. We were frustrated with paying GPT-4 rates when most queries didn’t need it. So we built a router that: - Starts with cheaper/free models (like Llama 8B, 4o-mini, 2.0 flash) - Streams responses and upgrades on failure - Acts…
2025 · switchpoint.dev
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