Backboard.io

Nobody questions using Stripe for payments or Okta for auth. But teams are still rebuilding the same AI infrastructure from scratch every time. Memory systems. Context management. Document processing. Model connections. It adds up fast, and none of it is what your customers are paying you for. The teams shipping fastest right now are not winning because they wrote more infrastructure. They are winning because they decided not to. One integration. Everything your AI product needs to run. Remember: The best engineering decision is often what you choose not to build. #AIInfrastructure #ProductEngineering #BuildWithAI

Meet the backboard team! The people who build the product are part of the product. Maggie is solving one of the biggest pain points engineers face when switching between AI models. Claire is shaping what Backboard looks like today and what it becomes tomorrow. And they are both in at 8am, coffee in hand, ready to shape what backboard becomes. Details like this do not show up in feature lists. They show up in how the product feels. Great products are a reflection of the people building them. This is the first in our meet the team series. More to come! #BuildingInPublic #TeamCulture #Backboard

We’re excited to partner with Major League Hacking (MLH) to bring production-grade AI building blocks to student developers around the world. MLH is integrating Backboard’s stateful API into their hackathons so builders can go beyond stateless demos and ship complex, production-ready AI apps without the engineering tax. What this means for MLH hackers: Free State Management for Life Bring your own API keys and make any of 17,000+ models instantly stateful. Premium Credits & Prizes Access free software credits for advanced memory features, plus exclusive swag and high-value prize pools. Global Impact A new “Best Use of Backboard.io” prize category is rolling out across MLH hackathons, Global Hack Weeks, and a DEV Challenge. As Jonathan Murray, our CSO and Cofounder, shared in MLH’s announcement: "We believe the next wave of world-changing tools will come from this community. We’re making Backboard.io the starting point of the AI stack for MLH builders, ensuring they can scale from weekend tinkering to enterprise-ready deployments without reworking their foundation." This is just the beginning. We can’t wait to see what MLH hackers build with Backboard. Follow the co-founders for more: Rob Imbeault Jonathan Murray

It is getting easier to win attention than it is to earn trust. In a world of big claims and viral benchmarks, the real signal is simple. Can anyone verify what you built? If it cannot be tested, repeated, or challenged, it is not progress. It is marketing. Impressive claims get reach. Provable systems earn trust. We would rather be boring and verifiable than impressive and questionable. If you are building in this space, save this: Make it testable. Let people break it. Improve from there. #AIBuilders #OpenSource #TechLeadership

Anthropic so kind of you to say. Spread the word. Rob Imbeault Backboard.io

One API To Rule Your Stack Everything you need to build production-grade agent systems on a single, coherent API. 17,000+ LLMs, best‑in‑class memory, RAG, and web search that all share the same state. Faster. Better. Cheaper. Who says you can’t have all three? Faster Stand up production‑ready AI infra in minutes, not months. No glue code, no DIY orchestration just one unified stateful API instead of dozens of brittle integrations. Better Tap into 17,000+ LLMs through a single, stateful API. Get best‑in‑class memory (multiple benchmark record holder), next‑gen RAG, web search, and tools all built in. Cheaper Stop overpaying for platform markup! State management and Adaptive Context Management are free, and our memory is cheaper than most open‑source stacks cutting total cost of ownership dramatically. Start Building at backboard.io Rob Imbeault Jonathan Murray

Inspiring builders building 🙌

Most teams are not behind on AI.  They are just overwhelmed by how it is being explained. The gap is rarely capability. It is translation.  When tools feel complex, adoption slows. When they feel obvious, people move fast. The shift is simple. Start smaller. Solve one real problem. Make it clear enough that anyone on the team can see the value immediately.  That is how momentum builds. That is also how we think about memory at Backboard.  Not as a feature, but as something that makes every tool feel more useful from the first interaction. If you are building, focus less on sounding smart and more on making others feel capable. #AIAdoption #ProductThinking #BuildInPublic

As AI gets cheaper, it doesn't get used less. It gets used everywhere. When cost drops, usage explodes and that shift changes where the advantage lives. It's no longer about who has access to the best models. It's about who can build systems around them. Owning your infrastructure. Owning your data. Owning how everything connects. That's where leverage comes from.  Models are becoming interchangeable. Systems are not. Some teams will build everything internally. Others will move faster by building on platforms designed for it. If you're thinking about the second path, that's exactly what we're building at backboard.io #AITools #AIAgents #AIForBusiness #MachineLearning

March update. - a lot shipped! Adaptive context management so you can move between models without losing state. New pricing with light and pro memory tiers depending on how far you want to push accuracy. A redesigned dashboard and navigation to support a growing system. API level memory search for teams that want more control. More configurable orchestrator logic so memory works the way your use case actually needs. None of this is about adding features for the sake of it. It is about making memory usable in real workflows. Reliable across sessions. Flexible across use cases. Consistent across models. If you are building with LLMs, you know where things usually break. State gets lost. Context resets. Systems become unpredictable. The goal is simple: Make memory something you can actually depend on. More to come. #AIInfrastructure #ProductUpdates #LLM