AI · alternatives · 2026
24 alternatives to First Launch
Run you are AI at scale
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 3 we have checked on their own sites, 3 of them free or with a free tier.
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Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
Dec 2025 · truefoundry.com · its alternatives →
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Kopai▲109Share your expertise, and let our agents earn for you.
Sep 2026 · usekopai.com · its alternatives →
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IndexedAI▲89Your site scores X/100 for AI agents with next steps
May 2026 · indexedai.tech · its alternatives →
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Maritime▲98Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…
Mar 2026 · maritime.sh · its alternatives →
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Sokosumi▲90I'm part of the team that build Sokosumi, a marketplace where you can hire and deploy AI agents for specific tasks (research, design, sentiment analysis, etc.). Instead of one big chatbot, they’re positioning it as a directory of specialized “freelancer” agents, with a blockchain-based backend for payments and identity. Developers can also list their own agents and monetize them. Curious what people here think about this model: Will specialization make agent marketplaces more useful than general-purpose LLM tools? How viable is blockchain as the backbone for an agent economy? What pitfalls…
Mar 2026 · sokosumi.com · its alternatives →
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Trails▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
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AI Hive ▲53Build, deploy, and run all your AI agents in one platform.
May 2026 · app.aihive.global · its alternatives →
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Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
2025 · github.com · its alternatives →
- 10AA
I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req/day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7/10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…
Mar 2026 · its alternatives →
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Agent-aware LLM cost tracking for small teams.
Jun 2026 · agentgate-theta.vercel.app · its alternatives →
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AgentWatch▲12Hi 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 · its alternatives →
- 13
Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…
Mar 2026 · github.com · its alternatives →
- 14AB
Hi HN, Can current AI systems actually run a business? There’s a growing belief that LLM agents can already manage entire teams, replace the entire software stack or even act as an AI CEO. So we built a controlled, measurable environment to evaluate this premise. Why did we build this benchmark? A modern enterprise operates in a dynamic environment with high uncertainty and incomplete information. The CEO has to deal with delayed consequences, staffing/resource tradeoffs and death by a thousand cuts of failure modes. If we ever want AI systems that can meaningfully make operational or…
Nov 2025 · its alternatives →
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hi everyone. My name is Jai. I own one of the largest driving schools in the Bay Area (and California!), and while trying to hire offshore staff, I discovered just how hard it is. IT'S (surprisingly) WAY TOO HARD!! My best friend Alex and I realized that throughout our careers in F500 companies, startups of every stage, and small businesses that we ran into this problem many times over. You pretty much have 3 choices: 1) you go to an agency and pay upwards of $3k+ a month for a resource that should cost closer to $1k/mo. 2) you go to a legacy marketplace like Upwork/Fiverr and…
Aug 2026 · hirenewtalent.ai · its alternatives →
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Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…
May 2026 · agents-cli.sh · its alternatives →
- 18AA
Looking for feedback on how Props can make your life easier as an LLM application developer.
2024 · wwww.getprops.ai · its alternatives →
- 19
Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…
Jan 2026 · github.com · its alternatives →
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Deploy AI Agents with confidence. AI Agent Evaluations done right.
Apr 2026 · arbitrhq.ai · its alternatives →
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orchagentfree tier, from $29/mo▲3Publish, schedule, and run your AI agents in the cloud. Deploy to secure sandboxes — no infrastructure needed.
Feb 2026 · orchagent.io · its alternatives →
- 22
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 · its alternatives →
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KostAI▲3Cut LLM spend by up to 92 percent with governed routing
Apr 2026 · kostai.app · its alternatives →
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Hire an AI team to build and run your startup
Apr 2026 · runmystartup.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →