propolis

Propolis simulates real users via swarms of autonomous browser agents that test for you.
backed by @ycombinator

[propolis @propolistech]

@TomTSEC @grok Is this real?

[propolis @propolistech]

RUN！

[propolis @propolistech]

to the moon! 😎

[propolis @propolistech]

#Penguin Just put the whole moon on my head 🌕😂

[propolis @propolistech]

Damn, that hat's way too long!😇

[propolis @propolistech]

$Penguin to the moon! 😎

[propolis @propolistech]

A penguin driving a car without a hat, lol.

[propolis @propolistech]

Sweet Style

[propolis @propolistech]

I haven't changed my pfp in over a month. do it

[propolis @propolistech]

🎉 ＃propolisAI by https://t.co/hbae4mTKSH launched today on https://t.co/xRf17e3hFe!
Revolutionizing AI testing with blockchain:
🔹 Pay for services
🔹 Unlock features
🔹 Earn rewards for bugs
🔹 Engage with the community
🔹 Reduce costs
Backed by YC. Curious about the future of QA? Watch:

[propolis @propolistech]

🐝 $Proplis: Empowering https://t.co/hbae4mTKSH's AI-Driven QA Ecosystem

https://t.co/hbae4mTKSH, a Y Combinator-backed startup, is revolutionizing software Quality Assurance (QA) and testing through its AI-driven synthetic user technology. Our autonomous browser agents simulate real user behavior, enabling comprehensive test coverage with zero setup. To further enhance our ecosystem and incentivize user participation, we're introducing the $Proplis token, designed to foster community collaboration, streamline payments, and support platform governance.

Token Utility:

💳 Payment for Testing Services: Offers developers and enterprise clients cost-effective access to our services.
🔑 Unlock Premium Features: Expands synthetic user capacity, grants priority testing, and provides in-depth analytics.
🐛 Bug Bounty Rewards: Incentivizes users to report and validate vulnerabilities.
🏦 Staking & Governance: Stake tokens to earn rewards and participate in platform governance decisions.

$Proplis is positioned as a utility token, built to strengthen the https://t.co/hbae4mTKSH ecosystem, drive user engagement, and foster community-driven innovation, ultimately enhancing software quality.

Addressing Key Challenges:

👥 Community Engagement: Bug bounties incentivize global developers and testers to collaborate, alleviating internal QA burdens.
🌐 Payment Convenience: Reduces transaction costs and simplifies payment processes for users worldwide.
❤️ User Loyalty: Staking and governance mechanisms cultivate a loyal, long-term community.

Practical Application:

👛 Payment System: An integrated wallet and payment gateway support $Proplis transactions, ensuring seamless payments.
🔍 Bug Reporting System: A dedicated portal for submitting bugs, with rewards distributed upon human or AI verification.
🗳 Governance Platform: A Decentralized Autonomous Organization (DAO) structure allows token holders to participate in platform decisions, ensuring transparency and community-led development.

$Proplis is a strategic expansion for https://t.co/hbae4mTKSH, enhancing platform value through incentives, payments, and governance. With its AI-driven QA and innovative token design, https://t.co/hbae4mTKSH is poised to lead the future of software testing.

Join the $Proplis ecosystem and help drive the evolution of QA! 🚀

🔗 Website: https://t.co/v8leaE2ra6
🔗 Twitter: https://t.co/9mPdI0NraC

[propolis @propolistech]

@keeskwekmen Post in 5 minutes.

[Garry Tan @garrytan]

Bug report for Gemini: one of the best things about Gemini was how well integrated it was for analysis of YouTube videos

It seems to have completely lost this ability and using deep research causes it to generate pages of nonsense

[propolis @propolistech]

Fed up with manual QA holding back your dev cycles? https://t.co/0lWuP1monJ uses AI agents to simulate genuine user behavior – get comprehensive testing with zero setup. It's a time and money saver, backed by YC. Check it out! https://t.co/yd9BMwnldk

[propolis @propolistech]

Software testing's biggest headaches? High costs, sluggish turnarounds, and a lack of true community engagement. https://t.co/hbae4mTKSH is targeting these pain points head-on with our upcoming major release. We're not just tweaking things; we're launching a decentralized QA revolution.

[Garry Tan @garrytan]

Make 10x to 100x bigger goals

[propolis @propolistech]

You've hit the nail on the head – AI's role in software testing is pivotal and growing. Our zero-configuration, all-encompassing test solution means development teams can pinpoint problems with unprecedented speed and precision.

[Joe Colantonio @joecolantonio]

#AI can’t replace real-world test data—but it can help you scale it smarter. Discover how to use AI for what it's good at (augmentation) and when to rely on production data for #reliability, coverage, and #compliance. Learn how to build a test strategy that actually works. 👉 https://t.co/sXvJzgvISE #TDM #XDM #DatOrchestration @UBSHainer

[propolis @propolistech]

The Future of QA: AI-Driven Testing & the Rise of https://t.co/hbae4mTKSH

The software landscape is evolving at breakneck speed, and traditional Quality Assurance (QA) methods are struggling to keep pace with increasing application complexity and user expectations. Artificial Intelligence (AI) is spearheading a QA revolution, infusing automation, intelligence, and predictive analytics to dramatically enhance testing efficiency and coverage. As we look at 2025, AI-driven testing isn't just a trend—it's becoming the industry standard, and https://t.co/hbae4mTKSH is at the forefront of this transformation.

Key software testing trends for 2025, including pervasive AI-driven test automation, shift-left practices, continuous testing within DevOps pipelines, and ethical AI considerations, underscore a fundamental shift: AI is now integral to the entire Software Development Life Cycle (SDLC). Reports, like Tricentis's finding that 80% of software teams aim to use AI for testing by 2025, confirm this widespread adoption.

Launched in May 2025 and backed by Y Combinator, https://t.co/hbae4mTKSH, co-founded by Marc Papazian and Matt White (formerly of Palantir and Airtable), introduces a groundbreaking approach with its "Synthetic Users." These are 132 autonomous browser agents that intelligently mimic real user behaviors, navigating complex workflows like checkouts and onboarding without requiring any initial setup or scripting. By exploring applications to learn usage patterns, these agents uncover edge cases often missed by traditional methods. https://t.co/hbae4mTKSH's "swarms" can run hundreds of these user-like sessions simultaneously, achieving comprehensive test coverage and seamlessly integrating with DevOps for continuous testing—for instance, on every code merge or during scheduled nightly runs.

The impact is significant: https://t.co/hbae4mTKSH saves valuable development time, enhances user experience by identifying critical issues like login errors, reduces operational costs, and provides data-driven insights to refine product design. As AI's role in QA deepens, potentially extending to suggesting fixes, https://t.co/hbae4mTKSH’s innovative synthetic user technology positions it as a pivotal force, driving the industry towards a future of faster, more reliable software delivery and setting new benchmarks for quality.