Marft Alternatives

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Freestyle

Developer Tools

Ben and Jacob met in Calculus class in 10th grade, and tried founding a startup in high school, it didn’t go anywhere. During high school, Ben lead the frontend team for the World Health Organization’s COVID-19 App Team. After high school, Jacob went to Apple and Ben went to college. When there was an opening on his team, Jacob had Ben apply, and Ben left UChicago to go work at Apple. They spent about 2 years at Apple as Senior Engineers in the Conversational Engineering Department, before leaving to found Freestyle. Freestyle is directly inspired by what they saw as their failures of the tech they worked with at Apple.

Opslane is a developer-first Kubernetes delivery platform. Connect your repo and get previews, safe rollouts, and instant rollbacks, no YAML, no ops team required.

Pipeshift is a modular orchestration platform for building with open-source AI components, embeddings, vector databases, LLMs, vision models and audio models, across any cloud or on-prem. Enterprises get to deploy their AI workloads in production faster and more reliably. Additionally, as we see more model and hardware architectures coming in the market, Pipeshift future-proofs the infrastructure investments by offering flexibility through their modular MLOps stack that allows enterprises to bring down their GPU infrastructure costs without any additional engineering efforts on their end.

We’re building browser-native infrastructure that makes software creation production-ready end-to-end. Today’s AI tools can scaffold code, but they fail on the critical workflows that actually get products into production, provisioning, auth, QA, and compliance, all of which happen inside the browser. Our system makes these workflows deterministic, reproducible, and automatable, so both agents and humans can go from idea to a production-ready app. The opportunity is massive: billions of dollars of value locked up in workflows that today block non-technical founders and slow technical teams. We’re building the infrastructure layer that makes production possible.

The fragmented and proprietary evaluation tools today are leading to significant inefficiencies and confusion among developers. The world needs a standard everyone can rely on and that is why we are building Ragas as the open-source standard. We have 4k stars on GitHub, 1.3k members in our discord community, and over 80+ external contributors. We also have partnerships with key AI companies like Langchain, Llamaindex, Arize, Weaviate and more to help create a standard. We already process 5 million evaluations monthly for engineers from companies like AWS, Microsoft, Databricks, and Moody’s and it is growing at 70% month over month. We are building LLM application testing and evaluation infrastructure for Enterprises.

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Capy

Developer Tools

Capy is an AI software engineer that ships dozens of features in parallel. It works end-to-end - autonomously triaging issues, executing code in isolated VMs, and pushing PRs to GitHub.

PearAI is a SaaS solution for businesses. Founded by Y Combinator alumni, this platform provides innovative tools and services to help companies streamline their operations and achieve their goals. Built with modern technology and user experience in mind, PearAI offers scalable solutions for teams of all sizes.

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Storia AI

Developer Tools

With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context. We are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as: 1) Given my project’s SLA and latency constraints, what is the appropriate underlying vector database to use? How would I incorporate it into my existing codebase? 2) Why should I pick Redis over Milvus as my underlying vector store? 3) Does this codebase in our organization still work and what steps are required for a complex integration with another library? Sage’s answers are directly supported by documentation and external references like GitHub, Stack Overflow, technical design documents, and project management software, preventing hallucinations. Today, Sage has up-to-date knowledge about open-source repositories (indexed daily). Tomorrow it will have a deep understanding of every line of code on the Internet. For teams, Sage will know about your private codebase too. No group has yet solved how to build an AI system that comprehends a codebase and its context and can empower every developer to architect better code, faster. This requires new research advances because vanilla RAG and out-of-the-box LLMs aren’t going to cut it. We have 20+ years of software engineering and AI research experience. Julia worked on precursors of Gemini using contextual neural techniques before they were called “RAG” (and applied it to products like Google Keyboard and Pixel phones). Mihail built the earliest LLMs at Amazon Alexa and launched the first contextual deep learning conversational AI system in production at Alexa.

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Spongecake

Developer Tools

Spongecake helps developers build computer use agents With spongecake, developers can build computer use agents for their own applications, automate workflows in desktop applications with poor APIs, and automate workflows in on prem environments

Blacksmith helps companies run their continuous integration (CI) up to twice as fast, at half the cost. We do this by running their CI on high performance gaming CPUs. - Engineering productivity is often marred by slow CI that grows quadratically with the size of the engineering organization. - On top of this, companies pay high markups to run CI on the hyperscalers. - Consequently, companies have to run their CI on spot instances to keep costs in check. Since spot instances can get pre-empted at any point, running CI reliably on them requires [significant engineering investment](https://www.rippling.com/blog/how-rippling-used-spot-instances-to-save-and-scale-ci-cd). Blacksmith offers CI compute that is more performant, cheaper, and reliable. With Blacksmith, companies do not have to think about CI as they scale. We are starting with GitHub Actions - today's most popular and fastest-growing CI system. With a one-line change, companies can run their CI up to twice as fast on our high-performance hardware. In addition to this, Blacksmith provides colocated warm caches along with optimizations for common CI workloads (like building and pushing Docker images). Aayush, JP and Aditya have gained deep systems and product knowledge from their time at Cockroach Labs and Faire respectively. Both these companies, with several hundred engineers, were spending in the order of millions of dollars on their CI. Yet they were riddled with slow CI and actively seeking out cheaper and faster alternatives. Blacksmith offers exactly this alternative, at a time where being lean is table-stakes for most companies.

We build underwater data centers to cut power usage by up to 30%, operating GPUs cheaper and more sustainably. Our 1 MW capsule is being tested underwater in the SF Bay

Tusk (YC W24) is an AI agent that helps developers generate unit and integration tests with codebase context. Tusk sits in CI and provides automatic coverage whenever software engineers raise a PR. Engineering teams use Tusk to prevent critical regressions while increasing test coverage.

We are Same (YC W24). We want to help people easy develop and run products. We believe that soon everyone will be able to freely explore, create, and implement various ideas without being restricted by technology and time. Coding in its current form is still too complicated for most people. It gives control to a small elite, takes years to master, and remains unintuitive and time-consuming to the average person. We spent the last two years building tools like Million.js and React Scan that extend what millions of developers could create. Now, we're going to share that magic with the rest of the world. We're based in San Francisco and Shanghai.

Manaflow is building new interfaces and tools for the future of software engineering. We're the creators of cmux, a universal AI coding agent manager that supports Claude Code, Codex, Gemini CLI, Amp, Opencode, and other coding CLIs. cmux helps software engineers context switch between tasks, deploy coding agents safely in cloud sandboxes, and verify AI-written code through preview environments. You can use cmux like Jira, Asana, or GitHub Issues, writing a bunch of tickets like a todos list, except cmux will deploy AI coding agents of your choice to complete the tickets for you. For every task that you start, cmux will: - Start up dev environments that include VS Code + browser previews for any dev servers so you can visually verify and test live changes fast - Spin up cloud sandboxes to safely deploy AI coding agents in YOLO mode so they can move fast and NOT break things - Evaluate all of the code diffs for all of your selected AI coding agents when they finish their tasks and choose the best version for you The future of software engineering will be managing, verifying, and reviewing 10+ coding tasks done by AI agents simultaneously. Human software engineers will become software engineering managers with AI software engineering teams behind them. Manaflow is building these interfaces to enable engineers to become 10x more productive with AI. cmux is an open-source app, and you can also bring your own API keys or OpenAI and Claude Max subscriptions. You can download cmux at https://www.cmux.dev/.

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Lumenary

Developer Tools

Lumenary develops Solar, a tool to build full-stack apps alongside many LLMs on a canvas, where you can freely remix features and try design variants. We provide infra (auth, DBs, storage, servers), or you can integrate with your own. Deploy in a click. Lumenary was founded by four best friends who met at Dartmouth, with experience from Jane Street, IMC, and Palantir. They've published research in venues like NeurIPS, and have deployed software managing billions of dollars, petabytes of data, and a lot of LLM tokens.

Agentic Labs is making software design and architecture less painful by building AI into the process. Today, developers have no shortage of tools for instantly creating chunks of code, but designing the systems that integrate this code is the hardest and most manual part of software engineering. Our first product is Glide, an AI-first editor purpose-built for writing technical design docs. It connects to your codebase and saves your engineering team time on triage, planning, and implementation of complex code changes.

Mem0 provides a memory layer for LLM applications, enabling them to remember and learn from user interactions over time.

We're building tools that combine static analysis with AI to obtain a deeper understanding of code behavior. By doing so, we help both humans and machines understand code behavior at a fundamental level.

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Trieve

Developer Tools

Infrastructure for search teams building retrieval and RAG. Trieve combines search language models with tools for tuning ranking and relevance. Building excellent search is difficult and can take months to implement then even more time to maintain. Trieve offers production-ready infrastructure that works out of the box to help search teams build adjustable AI search and RAG into their products. With tools for custom models, relevancy weighting, date-recency biasing, semantic full-text hybrid search, recommendations, and more Trieve covers the full spectrum of what a team wants from their discovery infrastructure.

Archil transforms S3 buckets into a 30x faster, unlimited, local disk. Archil enables AI, analytics, and serverless applications to instantly access massive data sets without waiting for data transfer. Researchers use Archil for shareable, local storage of data set and model versions that never runs out of capacity.

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Cekura

Developer Tools

Cekura helps Conversational AI companies with automated QA. From pre-production simulation and evaluations to production call monitoring, to assisting customers in setting up the CI/CD pipeline, we help in QA across the agent lifecycle. We are working with 75+ customers across healthcare, BFSI, logistics, recruitment, and retail. Some of the largest CCAS players and enterprises use Cekura to ship AI voice and chat agents reliably

Coval is a simulation & evaluation platform for autonomous AI agents, helping engineers launch dependable assistants across chat, voice, and other modalities. We simulate thousands of scenarios engineers don't have to manually test their agents. Our CI/CD evaluations automatically simulate and detect regressions.

Lytix is Datadog for LLMs. We give developers time, money and certainty when building with AI. Developers are using lytix to build custom evaluations, identify opportunities to save money, and optimize their KPIs. Our approach has helped customers reduce errors by up to 85%.

Doublezero is a platform that provides developers with everything they need to build, operate, and monetize autonomous agents. Developers can focus on creating tools while Doublezero handles reasoning frameworks, state management, analytics, monetization, and a runner UI. Users can interact with agents through a powerful UI that allows play, pause, rewind, and human intervention, and discover or share agents and tools through an integrated marketplace.