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科技

4小时前更新
  • 01
    Your tokenmaxxing is not valuemaxxing
    Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior developers and the talent pipeline.Phoebe Sajor
  • 02
    How to be fearlessly AI native
    Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable “fearless commits.”Phoebe Sajor
  • 03
    Explorers, exploiters, and the myth of the 100x engineer
    The “find the special ones and promote their traits” approach isn’t the best or only way to drive AI adoption and productivity on an engineering team.Eira May
  • 04
    Your MVP doesn’t need a Kubernetes cluster
    Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure.Ryan Donovan
  • 05
    Dispatches from O'Reilly: The best risk mitigation strategy in data? A single source of truth
    Your semantic layer is a risk mitigation strategy. Not risk in the abstract, compliance-framework sense, but the practical, operational risk that quietly drains organizations every day.Jeremy Arendt
  • 06
    What happens to the internet when robots act like humans?
    Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity.Phoebe Sajor
  • 07
    Your trusted knowledge layer: Introducing Stack Internal's new platform experience
    Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.Phoebe Sajor, Caroline Thomas
  • 08
    Developers are attached to tools because tools encode trust
    The tools themselves are new and their capabilities are in constant flux. If your kitchen knife kept changing shape, weight, and edge, you’d have to relearn it every time; that’s a hard tool to build trust in. But it also points to a flaw in how you use that tool, the process around it, and the way the tool reinforces the process.Ryan Donovan
  • 09
    You need reliable AI context for your site reliability
    Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management.Phoebe Sajor
  • 10
    No Dumb Questions: What is the AI bottleneck? How does context engineering fix it?
    In this No Dumb Questions, Stack's Director of Data Science Michael Foree teaches Phoebe about AI context, context engineering, and what she can do to become a better context engineer.Phoebe Sajor
  • 11
    Partnerships can keep open source sustainable
    Ryan welcomes VoidZero’s Evan You and Cloudflare’s Dane Knecht back to the show to discuss Cloudflare’s recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare’s distributed systems are helping to improve developer experience in Vite and beyond.Phoebe Sajor
  • 12
    The future of development is full-stack
    Live from Snowflake Summit, Ryan talks with Snowflake’s Head of Developer Experience Umesh Unnikrishnan about the industry-wide shift from “vibe coding” for quick prototypes to agentic engineering for enterprise-ready software, how enterprises can scale governance with guardrails like human-in-the-loop approval and control layers that go beyond the underlying LLM, and why Umesh predicts all developers will become someday become full-stack builders.Phoebe Sajor
  • 13
    Developers who move fast still need to do it together
    At MS Build, Ryan is joined by Cassidy Williams, Senior Director of Developer Advocacy at GitHub and former Stack Overflow Podcast host, to discuss how agentic coding is shifting dev work towards higher-level strategy while increasing decision fatigue; why human taste, community feedback, and mentorship are becoming more essential than ever for developer careers; and the new GitHub Copilot announcements coming out of Microsoft, including the new GitHub Copilot app.
  • 14
    Your AI is only as responsible as you are
    Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce unnecessary escalation.Phoebe Sajor
  • 15
    Building more than just an agent harness
    Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday.Phoebe Sajor
  • 16
    What's left for infrastructure-as-code after AI moves in?
    Ryan is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure-as-code looks like once AI starts writing and deploying it.Ryan Donovan
  • 17
    Agent orchestration is so two years ago
    Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation.Phoebe Sajor
  • 18
    When the sensor starts thinking: SnortML, agentic AI, and the evolving architecture of intrusion detection
    Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"Samaresh Kumar Singh
  • 19
    The good, the bad, and the AI apps
    Ryan welcomes Benny Chen, co-founder of Fireworks AI, to the show to explore what actually makes an AI application good or not, how to balance qualitative signals with quantitative metrics when evaluating AI, and how open-source eval protocols and community efforts are setting the standard for AI evaluation.Phoebe Sajor
  • 20
    How do you turn AI coding chaos into a repeatable playbook?
    Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering.Eira May
  • 21
    Why intent prediction needs more than an LLM
    Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private.Phoebe Sajor
  • 22
    Paging Charity! How can engineering leaders avoid becoming Bond villains?
    If you want your values to spread throughout the industry, the best thing you can possibly do is succeed and make others want to imitate you.Charity Majors
  • 23
    Code isn’t the only thing causing your production failures
    Ryan sits down with Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, and how teams can troubleshoot more effectively when traditional observability tools are not enough for agentic AI workflows.Phoebe Sajor
  • 24
  • 25
    The 2026 Developer Survey is now open (for human developers only)!
    Once again, we're asking for your help to take the temperature of software development.Ryan Donovan
  • 26
    Oh the places you’ll go with spatial data
    Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.Phoebe Sajor
  • 27
    Dispatches from O'Reilly: From capabilities to responsibilities
    Designing contract-bound AI agents for high-stakes execution.Artur Huk
  • 28
    You don’t understand DNS like you think you do
    Ryan welcomes Cricket Liu, DNS expert and Chief Evangelist at Infoblox, to the show to talk all things DNS. They cover the evolution of one of the oldest DNS server implementations, BIND, and what the future holds for protected DNS configurations; the realities of security threats like DDoS and DNS spoofing; and why outages often trace back to a lack of understanding of DNS’s fundamental role.Phoebe Sajor
  • 29
    The new bottleneck
    Engineering teams have upgraded their tools. Have they upgraded how they work?Eira May
  • 30
    AI agents are a confused deputy with the keys to your kingdom
    How attackers took twenty thousand Instagram accounts by asking Meta's AI politely, and why that failure is about to become common.Fabio Salvadori
Substack
科技上升榜
12分钟前更新
  • 01
    SemiAnalysis
    Bridging the gap between the world's most important industry, semiconductors, and business.Dylan Patel
  • 02
    @jasmine’s substack
    an anthropology of disruption 📍 essays on AI and Silicon Valley cultureJasmine Sun
  • 03
    Research toolbox
    Understanding people, measuring what matters, building for humans. UX Research, product thinking and AI evals.Saeideh Bakhshi
  • 04
    Pirate Wires
    An American media company reporting at the intersection of technology, politics, and culture. Subscribe, or die.Pirate Wires
  • 05
    The Algorithmic Bridge
    A blog about AI that's actually about peopleAlberto Romero
Suno Blog
实时热榜
3分钟前更新
Synced Review
实时热榜
4小时前更新
10小时前更新
  • 0142
    4301数码管套件
    带驱动+PCB底板,电工/电子爱好者闭眼入 · 关键词:4301白光数码管套件、4301数码管驱动模块、TM1650数码管开发板、4301数码管焊接套件 · 类目:电子元器件市场
  • 0232
    鸿福数码同源配件
    苹果党在北京修机换件,认准这家靠谱老店 · 关键词:鸿福数码iPhone电池、鸿福数码苹果数据线、鸿福数码MagSafe充电器、鸿福数码TypeC扩展坞 · 类目:3C数码配件
TechCrunch
实时热榜
15分钟前更新
5分钟前更新
The Decoder
实时热榜
8分钟前更新
  • 01
    OpenAI lets employees cash out another $7 billion in stock
    OpenAI wrapped up a $7 billion stock buyback, letting current and former employees sell shares at the company's $852 billion valuation. The move is meant to ease pressure on employees waiting for liquidity ahead of a potential IPO. OpenAI ran a similar $6.6 billion sale in October 2025. The article OpenAI lets employees cash out another $7 billion in stock appeared first on The Decoder .Matthias Bastian
  • 02
    "But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning
    Security researchers found a vulnerability in the APIs of OpenAI, Anthropic, and Google that lets them extract encrypted reasoning traces and move them between models. A scan of public sessions turned up dozens of passwords and API keys. The traces also show that the reasoning summaries users see often hide what the models are actually doing. The article "But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning appeared first on The Decoder .Matthias Bastian
  • 03
    Nvidia's open-weight Nemotron 3.5 Lightning prioritizes speed over maximum intelligence
    Nvidia's Nemotron 3.5 Lightning is an open-weights model with just 3.6 billion active parameters that matches OpenAI's gpt-oss-120b on the Intelligence Index despite being four times smaller. At nearly 670 tokens per second, it's also the fastest model in the comparison, showing Nvidia is betting on efficiency over raw size. The article Nvidia's open-weight Nemotron 3.5 Lightning prioritizes speed over maximum intelligence appeared first on The Decoder .Matthias Bastian
  • 04
    Anthropic's planned mega-IPO faces investor skepticism over Chinese rivals and political headwinds
    Anthropic is preparing an IPO for September or October, according to the Wall Street Journal, potentially the largest ever. During investor meetings, the company, valued at $965 billion, is fielding tough questions about Chinese competition, tensions with the Trump administration, and protests against data center construction. The company's IPO valuation will likely set the benchmark for how the entire AI industry gets valued. The article Anthropic's planned mega-IPO faces investor skepticism ovMaximilian Schreiner
  • 05
    OpenAI introduces $125 Premium Seats for ChatGPT Business as agentic AI burns through more tokens
    OpenAI is rolling out "Premium Seats" for ChatGPT Business customers at $125 per user per month, five times the price of the existing Standard Seats. In return, users get significantly more capacity and no five-hour usage limit. The move signals that the flat-rate pricing AI providers have offered so far was never going to last. The article OpenAI introduces $125 Premium Seats for ChatGPT Business as agentic AI burns through more tokens appeared first on The Decoder .Matthias Bastian
  • 06
    Anthropic signs $9.1 billion data center deal with Bitcoin miner Riot Platforms
    Anthropic is leasing $9.1 billion worth of data center capacity from Bitcoin miner Riot Platforms in Texas, according to Bloomberg. The deal covers 191 megawatts at Riot's Rockdale site, with extension options that could push the total value to $16.1 billion. It's the latest in an aggressive infrastructure push that spans partners from Amazon to SpaceX to Google. The article Anthropic signs $9.1 billion data center deal with Bitcoin miner Riot Platforms appeared first on The Decoder .Maximilian Schreiner
  • 07
    Nvidia guarantees its own chips' value to unlock $500 billion in AI infrastructure financing
    Nvidia is teaming up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize over $500 billion for AI infrastructure. To win over investors, the chipmaker is guaranteeing up to 25 percent of the residual value of its own hardware. The Bank of England is already warning of systemic risks if the AI sector takes a hit. The article Nvidia guarantees its own chips' value to unlock $500 billion in AI infrastructure financing appeared first on The Decoder .Maximilian Schreiner
  • 08
    Anthropic watermarks all Claude outputs globally with marks that "may persist through some editing"
    Anthropic will embed invisible watermarks in all Claude-generated text and sign files using the C2PA standard. New models shipping from August 2026 onward will have labeling built in from day one. The policy applies worldwide, and Anthropic plans to provide detection tools for third-party verification. The article Anthropic watermarks all Claude outputs globally with marks that "may persist through some editing" appeared first on The Decoder .Matthias Bastian
  • 09
    Old OCR text cripples language model training, and FineBooks wants to fix that at scale
    The FineBooks project from Hugging Face and EleutherAI tested 14 open-source OCR models on more than 2,000 historical book pages. The top model, dots.mocr, hits 97.6 percent character accuracy at under two dollars per thousand pages. That's good enough for AI training data, but not yet for scholarly transcriptions, the team says. The article Old OCR text cripples language model training, and FineBooks wants to fix that at scale appeared first on The Decoder .Matthias Bastian
  • 10
    OpenAI launches GPT-5.6-Cyber to help defenders find vulnerabilities before attackers do
    OpenAI aims to give cybersecurity defenders a head start: The new GPT-5.6-Cyber model answers up to 98.5 percent of security queries that would otherwise be blocked and has already uncovered two previously unknown Chrome vulnerabilities. According to OpenAI, the window of opportunity for defenders is shrinking. Access requires identity verification. The article OpenAI launches GPT-5.6-Cyber to help defenders find vulnerabilities before attackers do appeared first on The Decoder .Matthias Bastian
The Gradient
实时热榜
4小时前更新
  • 01
    After Orthogonality: Virtue-Ethical Agency and AI Alignment
    Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’ but because we align actions to practices [1] : networks of actions, action-dispositions, action-evaluation criteria,Peli Grietzer
  • 02
    AGI Is Not Multimodal
    "In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry Winograd The recent successes of generative AI models have convinced some that AGI is imminent. While these models appear to capture the essence of humanBenjamin A. Spiegel
  • 03
    Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
    What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involving carefully designed and mathematically principled architectures result in only marginal improvements while compute-intensive and engineering-first efforts that scale to ever larger training setsHenry Kvinge
  • 04
    What's Missing From LLM Chatbots: A Sense of Purpose
    LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more and more saturated, is user experience increasing in proportion to these scores? If we envision a futureKenneth Li
  • 05
    We Need Positive Visions for AI Grounded in Wellbeing
    Introduction Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy. Won’t this technology almost certainly transform society — and hasn’t AI’s impact on us so far beenJoel Lehman
  • 06
    Financial Market Applications of LLMs
    The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structuralRichard Dewey
  • 07
    A Brief Overview of Gender Bias in AI
    A brief overview and discussion on gender bias in AIYennie Jun
  • 08
    Mamba Explained
    Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency in processing long sequences.Kola Ayonrinde
  • 09
    Car-GPT: Could LLMs finally make self-driving cars happen?
    Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?Jérémy Cohen
  • 10
    Do text embeddings perfectly encode text?
    'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security protocols around embedded data.Jack Morris
  • 11
    Why Doesn’t My Model Work?
    Have you ever trained a model you thought was good, but then it failed miserably when applied to real world data? If so, you’re in good company.Michael Lones
  • 12
    Deep learning for single-cell sequencing: a microscope to see the diversity of cells
    On the the pivotal role that Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.Fatima Zahra El Hajji
  • 13
    Salmon in the Loop
    On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.Kevin McCraney
  • 14
    Neural algorithmic reasoning
    In this article, we will talk about classical computation : the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest path-finding, sorting, clever ways to break problems down into simpler problems, incredible ways to organise data for efficient retrieval and updates.Petar Veličković
  • 15
    The Artificiality of Alignment
    This essay first appeared in Reboot . Credulous, breathless coverage of “AI existential risk” (abbreviated “x-risk”) has reached the mainstream. Who could have foreseen that the smallcaps onomatopoeia “ꜰᴏᴏᴍ” — both evocative of and directly derived from children’s cartoons —Jessica Dai
The Register
实时热榜
5分钟前更新
The Verge
实时热榜
14分钟前更新
  • 01
    Saber denies replacing Rideshare Stimulator’s writers with ChatGPT
    After a former lead writer claimed Saber "replaced me with ChatGPT," CEO Matthew Karch now claims, "Neither Saber nor Unigine have replaced any writers with AI," for the Rideshare "Stimulator" game announced last month, developed by Unigine. The writer, Stella Sacco, says differently, however, posting on Bluesky that "I was lead writer on this one! […]Jay Peters
  • 02
    Xbox Elite 3 prototype pad leaks with tiny built-in screen
    Did a prototype Microsoft gamepad fall off the back of a truck? We can't say, but a Redditor has legit-looking photos of a prototype Xbox controller that's almost certainly the Xbox Elite Series 3. Incredibly, they claim they bought the pad for $200 on OfferUp. In May, a Brazilian regulator's leaked images revealed that Xbox […]Sean Hollister
  • 03
    An FCC filing points to new Sonos headphones coming soon
    It looks like we'll be getting a successor to the Sonos Ace headphones sometime this fall, which was hinted at by CEO Tom Conrad during a third quarter earnings call. As reported by What Hi-Fi?, an FCC filing by Sonos, Inc reveals details about upcoming wireless headphones with the model number S52A. In addition to […]John.Higgins
  • 04
    ChatGPT and Gemini both just passed 1 billion users
    For the 14th time, a Google product has hit 1 billion users. Google CEO Sundar Pichai posted on X that a billion people are using Gemini every month, and that Gemini is Google's fastest-growing product ever. A billion users is a huge milestone, but Google isn't the first AI app to hit it. OpenAI's ChatGPT […]David Pierce
  • 05
    Threads has a VR app now
    Meta has launched a Threads app for Meta Quest VR headsets, the company announced on Tuesday. The launch follows Meta bringing the app to its Ray-Ban Display AR glasses last month and the recent news that the platform has crossed 500 million monthly active users. It seems like a pretty full-featured app. Meta says that […]Jay Peters
  • 06
    Google’s free streaming service now lets you pick shows and movies to watch
    Google TV Freeplay, the company's free, ad-supported streaming service, now supports video on demand. Instead of tuning into Google TV Freeplay's selection of always-on channels, you can now choose from over 10,000 shows and movies to watch whenever you want. The update introduces titles like Lady Bird, Seventeen Again, and Hell's Kitchen, according to Google's […]Emma Roth
  • 07
    Another OpenAI executive takes off
    Brad Lightcap, OpenAI's special projects lead and the company's former COO, announced his departure after an eight-year stint at the AI lab. In an internal memo he later posted to X, Lightcap told colleagues he'd be starting "something new." "Over the last few months, I've been focused on the next horizon and what would stand […]Hayden Field
  • 08
    The budget-friendly Pixel Buds 2a are even cheaper right now
    Looking for great pair of earbuds that work particularly well with Android phones? The Google Pixel Buds 2a are currently discounted to $99 (usually $129) at various retailers, including Amazon, Best Buy, and directly from Google. These very capable Bluetooth earbuds come in four colors, with a lightweight fit that helps them disappear into your […]Brad Bourque
  • 09
    Google’s upcoming Pixel phones are for the fans, even if its launch event isn’t
    Last year's Made by Google event for the Pixel 10 resembled a late night talk show, complete with Jimmy Fallon as host, and it aired an hour after the phones were revealed. Spec dives and executive appearances were replaced with celebrity cameos and awkward skits, to the confusion of many diehard Pixel fans. But it […]Dominic Preston
  • 10
    Made by Google 2026: all the Pixel news and announcements
    Google is gearing up to reveal a bunch of new Pixel devices on August 12th. A series of leaks leading up to the event suggest that the Pixel 11 lineup will come in an array of colors, with signs pointing to a built-in light coming to Pro models. Teasers from Google also indicate that it […]Emma Roth
Tindie Blog
实时热榜
4小时前更新
  • 01
    Secure TOTP Storage & Usage
    Keeping online accounts secure is more important than ever, especially with breaches occurring all the time. Using a password manager is an important step, but if you want to take your security to the next level, it’s worth looking at secure hardware devices like the TOTPVault. This fully open-source project stores TOTP secrets and generates...Alexander Rowsell
  • 02
    Give C64 Emulation a Realistic Touch
    The Commodore 64 keyboard is one of the most unique features of that machine and its siblings the VIC-20 and C128. Some people love it, some people hate it – but it’s undeniably how millions of people interacted with the C64. While emulation has opened up a whole new era of enjoyment for vintage computers,...Alexander Rowsell
  • 03
    Home Assistant Heat Pump Control
    Heat pumps are really extraordinary devices that may be one effective way to heat and cool indoor spaces while saving power and reducing CO2 emissions. Heat pumps can actually achieve over 100% efficiency, and while that might not seem possible, it’s because not all of the energy comes from the grid. They use the thermal...Alexander Rowsell
  • 04
    Lua-based Microcontroller Platform
    There are lots of alternatives for programming microcontrollers other than C/C++. Python has become very popular, with MicroPython and CircuitPython exploding in popularity in recent years. But Lua has always had a presence in the embedded field. It’s an exceptionally flexible scripting language, giving users the power to essentially make any data structure they want...Alexander Rowsell
  • 05
    Show off your creations with Tindie at Teardown 2026!
    Teardown 2026 is happening in Portland, Oregon this July 24-26 at the Jupiter hotel. It’s going to be a fun event, with talks, workshops, breakout sessions, and tons of cool hacks. In collaboration with Open Boards Guide we will be there and we want to show off your cool Tindie projects! So, if you’d like to...Alexander Rowsell
  • 06
    Important Update: Tindie’s New Payment and Seller Payout System Is Now Live
    Hi everyone, Today, we are officially launching Tindie’s new payment and seller payout system. This is an important change for the platform, and we want to explain why it was necessary, what is now available, and what sellers should expect during the transition. First, thank you for your patience over the past few months. We...Alexander Rowsell
  • 07
    May 12th Update
    Quick updates for everyone on the disbursements. We got all set up with PayPal after transferring all the account info over, and we were able to send some payments out but apparently we tripped some kind of safety mechanism with PayPal — we tried to send too much, too quickly as a new account and...Alexander Rowsell
  • 08
    More on the transition
    We’re excited to announce more information about the transition to the new team! Tindie is now owned by EETree LLC, a Washington state company. The transition is being led by Gongyu Su and a new team with long experience building technical communities and electronics-related platforms. The goal is to invest in Tindie as an independent...Alexander Rowsell
  • 09
    Back up and running!
    Thank you for your patience during the recent downtime. We recognize that this disruption has been frustrating—and in some cases costly—particularly for sellers who rely on the platform. This message comes from the new management team, and we want to be fully transparent: Tindie is entering a new chapter. We’ve taken on stewardship of Tindie...Alexander Rowsell
  • 10
    Classic Radio Shack Protoboards
    Radio Shack famously made many different products for hobbyists and professionals alike. Their series of protoboards were specially designed to fit inside project boxes that were also sold by Radio Shack. They followed a somewhat similar layout to a breadboard, but as you can see there are also completely independent, unconnected pads for three of...Alexander Rowsell