nowfound

Alternatives

Products that do what ElseLane does

If the primary AI provider fails, take the else lane.

  1. 1
    Velane95

    Cloud for your AI Agent's tools and functions

    Jul 2026 · velane.sh

  2. 2
    AskCodi230

    Custom LLMs, without training. Use via openai compatible api

    Nov 2025

  3. 3

    Avoid OpenAI downtimes - one API for 30+ LLMs

    2023

  4. 4

    Optimize Performance, Cost, Speed & Carbon for each prompt

    Nov 2025

  5. 5

    One AI API for production - streaming, failover, logs

    Jan 2026

  6. 6
    Opper AI229

    The european AI gateway for agents

    Jul 2026 · opper.ai

  7. 7

    Ollama but for mobile, with a cloud fallback

    2025

  8. 8
    LLMTest125

    Use the right LLMs in your apps. Setup fallbacks. Be happy.

    May 2026

  9. 9

    An open benchmark for AI agents that test APIs

    May 2026

  10. 10

    LLM Provider arbitrage to get the best performance for the $

    2025

  11. 11
    1min.AI98

    All-in-one AI app, powered by various AI models

    2024

  12. 12
    Agihalo68

    LLM Router for A.I Agent & Saas with x402

    Jan 2026

  13. 13

    Self-hosted AI gateway for lower LLM costs

    18d ago · contextlane.ai

  14. 14

    Find which AI wins for YOUR prompts. Test 100+ models free.

    Dec 2025

  15. 15
    Relay4

    Reliable delivery layer for LLM APIs

    Jun 2026 · relay-sdk.vercel.app

  16. 16

    Dev tool that worries about your LLM API failures.

    Aug 2026 · llmrouter.dpdns.org

  17. 17IB

    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

  18. 18LO

    Hi HN! I built LLM OneStop (https://www.llmonestop.com), a unified interface for accessing multiple AI language models in one place. The main problem I wanted to solve: constantly switching between different AI platforms, managing multiple subscriptions, and losing conversation context when comparing outputs across models. Key features: Switch between GPT-4, Claude, Gemini, Llama, and other models mid-conversation Compare responses side-by-side Single interface instead of juggling multiple tabs/subscriptions Free tier available to try it out (no credit card needed) "Connect"…

    Nov 2025 · llmonestop.com

  19. 19

    One layer for your agents and teams.

    Jun 2026 · tarqaai.com

  20. 20

    Build LLM workflows as a graph. Ship AI assistants, no code.

    Jul 2026 · llmgraph.ai

  21. 21FA
  22. 22

    One API. Lowest token prices.

    Jul 2026 · videorouter.sh

  23. 23

    Local-first notebooks for executable LLM workflows.

    Jul 2026 · icc-go.com

  24. 24HA

    Hi HN, I am Umer. I recently built an experimental framework called HyperFlow to explore the idea of self-improving AI agents. Usually, when an agent fails a task, we developers step in to manually tweak the prompt or adjust the code logic. I wanted to see if an agent could automate its own improvement loop. Built on LangChain and LangGraph, HyperFlow uses two agents: - A TaskAgent that solves the domain problem. - A MetaAgent that acts as the improver. The MetaAgent looks at the TaskAgent's evaluation logs, rewrites the underlying Python code, tools, and prompt files, and then tests the new…

    Apr 2026

Ranked by how close each launch is in meaning, then by votes. Refine with a description →