AI · alternatives · 2026
24 alternatives to Poozle – open-source Plaid for LLMs
Hi HN, We’re Harshith, Manoj, and Manik Poozle (https://github.com/poozlehq/poozle) provides a single API that helps businesses achieve accurate LLM responses by providing real-time customer data from different SAAS tools (e.g Notion, Salesforce, Jira, Shopify, Google Ads etc). Why we built Poozle: As we were talking to more AI companies who need to integrate with their customers’ data we realised managing all SAAS tools data and keeping them up-to-date is a huge infra of ETL, Auth management, Webhooks and many more things before you take it to production. It struck us –…
Poozle is an open-source API platform that provides real-time customer data from SaaS tools like Notion, Salesforce, Jira, Shopify, and Google Ads to improve LLM responses. It is designed for AI companies and… 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 1 we have checked on their own sites, 1 of them free or with a free tier. Poozle – open-source Plaid for LLMs launched in 2023; newer entries below may have overtaken it.
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A single API for product integrations. Contribute to poozlehq/poozle development by creating an account on GitHub.
2023 · github.com · its alternatives →
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Founder here, Poozle integrates different APIs [Gmail, JIRA, Github, Salesforce, Pipedrive, Slack etc.] and provides a single GraphQL layer to integrate third party APIs and perform CRUD operations. In our previous jobs, we did many integrations, but we found that there is no standardization to the process. We had to write separate authentication code for each application, and for some applications, we had to integrate via APIs because the SDKs were stale. We also found that some integrations were completed quickly, while others took longer. Started working full time on this idea from Jan’23…
2023 · github.com · its alternatives →
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We built Poozle (an open source platform) to simplify API integrations. Instead of dealing with multiple providers with different syntax and requirements, our platform offers a standardised interface through GraphQL. Why we built this: 1. In our previous jobs, we did many integrations and found no standardisation to the process. 2. Existing Unified API solutions lack customizability and only work for integrating multiple integrations from one vertical. Our beta version includes: 1. Plug n Play Integrations: Choose an integration from our pre-built list and start using it. 2. Playground:…
2023 · github.com · its alternatives →
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LLM Gatewayfree tier▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
2025 · llmgateway.io · its alternatives →
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We just released a major upgrade to SigNoz with support for Logs management based on ClickHouse. Would love to get any feedback from the community here on what you think and any questions you may have for us Many big companies like Uber and Cloudflare have been shifting to ClickHouse as their main workhorse for Logs management seeing much better performance. for e.g Cloudflare recently shifted from Elastic to ClickHouse and are seeing 8x improvement in memory/cpu resource requirement in ingestion. This is our first release with Logs support and we have added support for: - Filtering…
2022 · github.com · its alternatives →
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Hi HN, we are Nick and Ben, creators of Axilla - an open source TypeScript framework to develop LLM applications. It’s in the early stages but you can use it today: we’ve already published 2 modules and have more coming soon. Ben and I met while working at Cruise on the ML platform for self-driving cars. We spent many years there and learned the hard way that shipping AI is not quite the same as shipping regular code. There are many parts of the ML lifecycle, e.g., mining, processing, and labeling data and training, evaluating, and deploying models. Although none of them are rocket science,…
2023 · github.com · its alternatives →
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TensorZero▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
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Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai · its alternatives →
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Hi everyone, We’re building an open-source identity and risk management platform and we’ve just released the first chunk of code, a fully customizable KYC flow & UI, to the public. We’ve chosen to use Svelte so our flows would be lightweight (it is ~50kb gzipped). Next up: - Adding forms and components for it to be used as a full onboarding flow. - Releasing an open-source case management dashboard, for manual approval of users. - Releasing an open-source rule engine, to help automate decisions. We’d love to hear your feedback, suggestions, or any question you’ve got. And if the rest of the…
2022 · github.com · its alternatives →
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Hey HN! I'm Caleb, one of the contributors to Opik, a new open source framework for LLM evaluations. Over the last few months, my colleagues and I have been working on a project to solve what we see as the most painful parts of writing evals for an LLM application. For this initial release, we've focused on a few core features that we think are the most essential: - Simplifying the implementation of more complex LLM-based evaluation metrics, like Hallucination and Moderation. - Enabling step-by-step tracking, such that you can test and debug each individual component of your LLM application,…
2024 · github.com · its alternatives →
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Customer data search, unification and retrieval for LLMs
2024 · tilores.io · its alternatives →
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Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom…
2023 · github.com · its alternatives →
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Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…
2025 · github.com · its alternatives →
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Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…
Apr 2026 · openrouter.ai · its alternatives →
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Hey HN! If you’re at all interested in LLMs/LLM-apps, you’ve probably heard of RAG: Retrieval-Assisted Generation, i.e. retrieving relevant documents to give to your LLM as context to answer user queries. Today, I’m releasing RAGatouille v0.0.1, whose aim is to make it as easy as can be to improve your RAG pipelines by leveraging state-of-the-art Information Retrieval research. As of right now, there’s quite a big gap between common everyday practice and the IR literature, and a lot of the gap is because there just aren’t good ways to quickly try out and leverage SotA IR techniques.…
2024 · github.com · its alternatives →
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Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…
2023 · github.com · its alternatives →
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We've open-sourced Klarity - a tool for analyzing uncertainty and decision-making in LLM token generation. It provides structured insights into how models choose tokens and where they show uncertainty. What Klarity does: - Real-time analysis of model uncertainty during generation - Dual analysis combining log probabilities and semantic understanding - Structured JSON output with actionable insights - Fully self-hostable with customizable analysis models The tool works by analyzing each step of text generation and returns a structured JSON: - uncertainty_points: array of {step, entropy,…
2025 · github.com · its alternatives →
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The open source LLM router that connects your AI agents and harnesses to any provider in seconds. Subscriptions, pay-per-token, local models, and custom providers.
2024 · manifest.build · its alternatives →
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Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
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Last month, we open-sourced Supaglue (https://github.com/supaglue-labs/supaglue) as a developer toolkit for building customer-facing Salesforce integrations. Since then, we've been iterating on our approach with users and are re-launching Supaglue as an open source unified API, starting with CRMs. With our re-launched public alpha you can: - Interact with HubSpot and Salesforce through a unified REST API - Sync data from HubSpot and Salesforce into a local Postgres cache and make reads against a normalized CRM schema - Make writes (POST and PATCH) to HubSpot and…
2023 · its alternatives →
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Ludwig 0.8▲109Build and fine-tune custom LLMs on your private data
2023 · ludwig.ai · its alternatives →
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Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com · its alternatives →
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Run GPT-OSS, Qwen, Llama, and DeepSeek through one OpenAI-compatible API with streaming and clear usage-based pricing.
May 2026 · adola.app · its alternatives →
Also compare
- Poozle – open-source integration infrastructure for AI Apps alternatives
- Open-source platform to Standardise API Integrations using GraphQL alternatives
- Integrate third party APIs with ease using GraphQL alternatives
- LLM Gateway alternatives
- Treblle 3.0 alternatives
- SigNoz – open-source alternative to DataDog, NewRelic alternatives
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 →