More Speed, Less Overhead as DevTools Collab on Smarter Solutions

From AI-powered video and LLM evaluation tools to security automation and DevSecOps mergers, this week’s roundup is packed with momentum. Developer Tools startups are streamlining workflows, tackling legacy code modernization, and making Reddit a secret weapon for technical marketing.

With millions in funding flowing into developer-first platforms and new collaborations bringing innovation, there’s plenty to dive into.

And if you are on the look out for your next opportunity in a DevTools startup, then head here: DevTools Jobs

🏆 Funding Wins

Index Charts a New Course for Product Teams With $3.5M Seed Round

Sydney-based Index, a B2B product management startup co-founded by Atlassian and Canva alumni and incubated at Y Combinator, has raised $3.5M in Seed funding. The round was led by Blackbird and Bain Capital Ventures, with support from Bond, Y Combinator, and angel investors including Linktree’s Alex Zaccaria and Raycast’s Thomas Paul Mann. Index aims to replace outdated product planning tools with real-time collaboration software designed for modern tech teams. CEO Simon Kubica noted, “It’s only been two months since our public launch – and the response has blown us away… thousands of companies are already on the pre-order list.” The funding will accelerate product development and broaden integrations

More from Index here

Fal Raises $49M to Fuel AI-Powered Video Creation

AI-driven media is evolving fast, and fal is building the infrastructure to keep up. The developer-focused platform, specializing in AI-generated video, audio, and images, has secured $49M in Series B funding led by Notable Capital, with backing from Andreessen Horowitz (a16z), Bessemer Venture Partners, and Kindred Ventures. Founded by Burkay Gur and Gorkem Yurtseven, Fal powers generative media for enterprises like Quora, Canva, and Perplexity. “Video is the next frontier… Fal is ready to deliver” claims Gur. The new funding will expand infrastructure, support AI model development, and grow the team.

Read more on Fal’s vision here

Moderne Secures $30M to Automate Code Modernization

Refactoring legacy code is a headache, but Moderne is tackling it head-on. The Miami-based automated code analysis platform, built on Netflix’s OpenRewrite, has raised $30M in Series B funding led by Acrew Capital, with participation from Morgan Stanley, Amex Ventures, TIAA Ventures, and Intel Capital. Co-founded by Jonathan Schneider and Olga Kundzich, Moderne helps enterprises like AWS, Microsoft, and Broadcom modernize code at scale. The platform enables developers to migrate, maintain, and secure massive codebases in minutes instead of months. With this fresh funding, Moderne is expanding its reach and accelerating enterprise adoption.

Learn more about Moderne’s mission

🚀 3, 2, 1… Launches

Confident AI Puts LLM Evaluation on Autopilot

Confident AI, co-founded by Jeffrey Ip and Kritin Vongthongsri, has officially launched on Y Combinator’s Launch YC, bringing DeepEval’s powerful LLM evaluation capabilities to the cloud. With 600K evaluations running daily and used in CI/CD pipelines at companies like Microsoft and AstraZeneca, DeepEval has already proven its worth. Confident AI takes it further, giving engineering teams a central platform to collaborate, iterate, and fine-tune LLMs 10x faster. By continuously evaluating real-world test cases, it ensures LLMs stay optimized and cost-effective. If you’re tired of scattered evaluation metrics and custom-built solutions, Confident AI might be the missing piece in your workflow.

Set up Confident AI in five minutes here.

Lucidic AI Maps Every Move of Your AI Agents

Watching logs scroll endlessly as your AI agent makes baffling decisions? Lucidic AI, founded by Abhinav Sinha, Andy Liang, and Jeremy Tian, makes debugging AI agents a breeze with interactive visualizations that show every API call, decision node, and failure mode. Instead of sifting through mountains of logs, developers can pinpoint issues in seconds and scale simulations from single runs to thousands. Whether you’re fine-tuning prompts or optimizing decision paths, Lucidic turns trial-and-error debugging into a structured, real-time process. No more blind troubleshooting—just clear insights into how your AI thinks.

Sign up for the private beta at Lucidic AI.

Casixty Gives Tech Companies a Reddit Superpower

Reddit is a goldmine for technical marketing; if you can find the right discussions at the right time. That’s where Casixty (YC W25), co-founded by Eylon M. and Yoav Tamir, comes in. This AI-powered agent indexes your company’s knowledge, finds the perfect engagement opportunities, and drafts responses that match your brand’s voice. It integrates with Slack, making Reddit engagement quick and painless, all while boosting brand awareness and SEO. Technical companies are already using Casixty to generate thousands of karma points and position their teams as thought leaders. Ready to turn Reddit into a marketing advantage?

Start for free at Casixty.

AND….Big Moves from Industry Leaders

JetBrains Expands AI Assistant and Refocuses Kotlin Development on IntelliJ

JetBrains is doubling down on developer productivity with two major updates. First, AI Assistant now supports Claude Sonnet 3.5 and OpenAI’s latest models, helping developers optimize their workflows with smarter code completions, documentation generation, and debugging assistance. The update also introduces local AI model support via LM Studio, giving developers more control over their AI-assisted coding environments.

Meanwhile, JetBrains has announced it’s shifting Kotlin Multiplatform (KMP) development away from Fleet IDE, prioritizing IntelliJ instead. With Google officially backing KMP in Android Studio, developers have made it clear that IntelliJ is the preferred platform. While Fleet’s long-term future is uncertain, JetBrains’ commitment to streamlining AI-powered and Kotlin development is stronger than ever.

Learn more about JetBrains’ latest moves.

🤝 Collaborations & Mergers

Oneleet and Wolfia Team Up to Tackle Security Questionnaires

Security and sales teams no longer have to spend days buried in security questionnaires, thanks to a new partnership between Oneleet and Wolfia (YC). Oneleet provides an all-in-one security compliance automation platform, while Wolfia, has built an AI agent that generates consistent, reliable responses using existing documentation. The result? Faster security reviews, less manual work, and more time for teams to focus on building secure products.

“Working with Wolfia was a natural step for us. We wanted to cut down on the repetitive work of security questionnaires so that our customers can focus on building secure and reliable products.” — Bryan Onel, Co-founder & CEO, Oneleet

“We love Oneleet’s clear focus on security and their commitment to offering the best solutions in the market.” — Naren Manoharan, CEO, Wolfia

See how this partnership can streamline security processes.

Harness and Traceable Merge to Build the Future of Secure DevOps

Two powerhouses in DevOps and security, Harness and Traceable, are joining forces under the Harness name, creating a unified platform for secure software delivery. Founded by Jyoti Bansal, both companies started as separate ventures but increasingly saw customer demand for an integrated solution. The merger accelerates the shift toward DevSecOps, as teams look to ship software faster without compromising security. With ARR projected to surpass $250M this year, this combined force is poised to become a major player in software delivery. Sanjay Nagaraj, co-founder of Traceable, will now lead Harness’ Application Security business, pushing the innovation forward.

Read more about the Harness and Traceable merger.

LiteLLM and Langfuse Launch an Open-Source LLMOps Stack

Startups, LiteLLM (YC W23) and Langfuse (YC W23), are bringing AI teams a fully open-source, enterprise-ready LLMOps Stack, making it easier to build, monitor, and optimize LLM-powered applications. LiteLLM, co-founded by Krrish D. and Ishaan Jaffer, provides a unified API for accessing 100+ LLM models, while Langfuse, founded by Marc Klingen, Maximilian Deichmann, and Clemens Rawert, delivers deep observability, structured evaluations, and prompt management tools. Together, they help companies like Lemonade, Twilio, and Adobe move fast without vendor lock-in, improving iteration speed and debugging. With over 25K GitHub stars, this stack is built to scale.

Find out more how to deploy the stack and take control of your LLMOps.

🔦 Developer Tools of the Week

Timescale: Powering the Future of Time-Series and AI-Driven Data

When 🐯 Ajay Kulkarni and 🐯 Michael Freedman founded Timescale in 2015, they set out to solve a growing challenge: how to handle the explosion of time-series data in a way that was both scalable and developer-friendly. Traditional SQL databases struggled under the weight of high-ingest workloads, while NoSQL alternatives lacked the flexibility and reliability of relational databases.

Their answer? TimescaleDB, an open-source extension for PostgreSQL that combines the familiarity of SQL with the performance needed for massive-scale data workloads. Today, TimescaleDB is trusted across industries, from financial markets and IoT analytics to AI-driven applications, helping developers make sense of complex, high-volume data with speed and efficiency.

Where They Are Now

Timescale hasn’t stopped innovating. In November 2024, they expanded their AI capabilities with pgai Vectorizer, a feature that allows developers to store, manage, and sync vector embeddings natively inside PostgreSQL. This eliminates the need for external vector databases, simplifying AI development for teams building search engines, recommendation systems, and intelligent automation tools. The first release supports OpenAI models, but Timescale has already confirmed plans to expand to additional providers based on developer feedback.

What Customers Are Saying

For many engineering teams, Timescale has become an essential part of their data infrastructure.

“By choosing Timescale, we shaved off months from our minimum viable product development time…” — Mikko Ohtamaa, CEO, Trading Strategy

“Timescale’s hyperfunctions significantly reduce our development time and continuous aggregates make it easier to do analysis on high volumes of data, plus with lower server costs.” — Evert Van Cauwenberg, CTO, Jane.be

Built for Performance, Trusted by Developers

Timescale continues to refine its database technology, giving developers the tools to handle complex time-series and AI workloads efficiently. With its commitment to performance, flexibility, and usability, it remains a standout choice for teams working with high-volume data.

Explore Timescale’s latest features here.

If you’ve got news to share for next week’s edition, reach out to us by the end of this week. We’re always keen to spotlight the latest in DevTools innovation. And if you’re on the lookout for your next opportunity in a DevTools startup, head to devtoolsjobs.com to see what’s out there.

Have a great week ahead!

Louise Ogilvy

Becca Combe MIRP CertRP

Natalie Harper