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Atlas is an AI agent that works alongside teams in Slack. It can answer questions, prepare workers for customer calls, summarize information, investigate regressions, and more. Teammates can add context, correct an answer, and continue the work together. Atlas learns organizations' shorthand, priorities, processes, and people from the conversations already happening in Slack.
Web Search is now generally available on Amazon Bedrock. The server-side tool grounds model responses in current web knowledge. It is backed by a web index that spans billions of documents and is refreshed continually. Web Search on Bedrock offers zero data egress, so users' data never leaves their AWS environments.
One of the phrases most heard inside Canva is 'we're one percent of the way there'. The phrase was repeated when the company was just a few hundred people, and it continues to be repeated now that it has five thousand employees and a quarter of a billion users. The phrase keeps employees hungry, but there is also a lot of truth to it. When the ambition is large and genuine, the target never stands still.
Anthropic's vertical integration, co-designing models with harnesses, pressures agent labs to evolve beyond domain-specific harnesses. The move aims to optimize intelligence per dollar in enterprise AI, challenging agent labs to match margins by integrating and enhancing their own model-harness combinations.
If your Slack reply is only "Claude said" followed by 800 words, you did not save the team any work - you made everyone else review the model for you.
It takes a lot of engineering to get AI to generate thousands of words a company would put its name on.
DoorDash's CLI was a response to AI agents bypassing app-based habits and comparing services directly on price and availability.
An AI demo built Nue's guided-selling playbook in two minutes, but cleaning the catalog, pricing rules, approval paths, and billing data needed to run it still takes about 90 days.
QM is a multiplayer agent harness for companies. It remembers enough for people to work together without treating the whole company as one person with one permission set. The agent recognized personal, channel, group, team, and organization scopes, allowing people to collaborate through the same agent without becoming one undifferentiated user. QM is open-source and available for Slack and the web.
Model pricing can now go stale before a startup ships. OpenAI cut Luna's API price 80% only three weeks after launch and dropped Terra's price 20%. Anthropic released Opus 5 at half the price of Fable 5, while Google priced Gemini 3.6 Flash below Kimi K3 per task. Cheaper models are already forcing frontier labs to move before most enterprises have even started switching. If model spend matters to your margins, keep switching costs low.
Service is what the customer experiences when trying to get something done. For people to trust you, you need to make their journey easy, respect their time, take ownership, ensure that advisable details inspire confidence, be competent and decent when something goes wrong, and build a system that learns. Trust takes time to earn but can be lost surprisingly quickly. It is one of the most valuable things a service provider can possess.
Forward-deployed engineers brought proximity, speed, and ownership of the outcome, but that isn't enough. Engineers are still often too far away from the key decision-makers who are critical for decisions and culture. Companies can't just rapidly hire and replace the entire C-suite in a month - they need outside help. Forward-deployed executives can help close the gap by bringing both technical and leadership experience to help businesses navigate the chaos and complexity of AI adoption.
QM is an agent designed for startups. Each employee gets their own isolated workspace and can work independently without affecting each other. They can also collaborate with the agent in channels, group messages, and projects. Skills are scope-owned and shareable by grant. QM can be used to search internal knowledge, build internal apps, work on existing repositories, and track projects in a shared channel with updates and follow-ups.
OpenAI's new campaign type, Agent, allows marketers to send ChatGPT searchers and users to a Business Agent conversation. The agents will be created through a combination of scraped data from the business website and instructions from advertisers. They will have access to product feeds and MCP tools, and can capture leads through custom forms. They can also launch ad campaigns that point to the agent rather than a website URL.
Most of what founders currently call a moat is a lease. Routing, distribution, marketplace liquidity, and the app-layer feature set all lose value as the models get better. What appreciates is proprietary data, expert decision-making, and a pipeline that turns those decisions into the next training run.
Startup options can turn into a bill the day an employee leaves. The usual 90-day window asks someone to pay the strike price and possibly taxes before they know whether the stock will ever be worth anything. That made more sense when startups exited in four to seven years, not today's 10 to 20 years. Backplanes gives people their tenure minus one year to exercise, while Craftwork gives them a full decade. If you use equity to recruit great people, make sure they can actually keep it.
Manifest ran an LLM router for four months across 7,000 users, then decided to shut it down.
WhatsApp is testing a feature that automatically moves messages from large businesses to an 'Offers & Updates' folder after a set number of hours.
Patrick Collison talks about dropping out of MIT twice, why founders should ask what happens if they succeed, and what Stripe's own data says about the best time to start a company.
Drive can come from pain, but it can also come from curiosity, high standards, or a family that never learned to coast.
Some quick tips on what investors look for before wiring money.
It's best to follow universally sound principles and heuristics as they're robust to uncertainty. Behaving in a way that's usually for the best avoids issues with misreading the situation. Most of the time, for most people, following generally good heuristics is good. Play fair, mind your own business, cultivate your own garden, and do your best, and it'll mostly work out for the best in the long run.
Two-week sprints once felt radical. Bring that cadence to an AI-native team now and you might get smoked. 37signals still runs six-week product cycles, but it just cut the two-week cool-down between them to a one-week "tune-up." The team says a substantial feature that may have taken four weeks, with a real risk of six, can now ship in one.
Show up in places where your competitors are. Most customers will buy the top brand, but not all of them, and being known will help you if your competitor ever makes a mistake. Help customers switch vendors for no additional cost. Making the process effortless will relieve any concerns about the cost of switching.
Successful SaaS IPOs emphasize a land-and-expand model, creative pricing tied to value, and the importance of annual or multi-year contracts. Companies like GitLab leverage open-source and freemium strategies to build user bases before sales involvement. For sustained growth, SaaS firms should eye enterprise customers, maintain over 110% net dollar retention, and align go-to-market strategies with buyer behavior.
Lester Chen advises founders to view PR not just as a distribution channel, but as a test to gauge the external validation of their startup's story. Engaging early with professional PR services can prevent common mistakes, allowing founders to focus on tailored messaging for their specific audiences. The direct approach, favored by many now, involves founders engaging directly with their audience through personal channels, though it requires comfort with public engagement.
Successful X launches combine market-specific research, a memorable claim and demo, coordinated creator waves, and rapid comment-driven engagement. Founders then convert attention by replying, DMing sharers, delivering lead magnets quickly, and sustaining one launch narrative for 48 hours.
GitHub Stacked Pull Requests break large changes into small, reviewable pull requests so developers can independently review and check each pull request, then merge everything together in one click. It helps developers introduce smaller individual changes while shipping larger features. Stacked pull requests help teams keep large changes moving, maintain quality across every layer, and merge one, some, or all. The feature is built into GitHub, so existing reviews, checks, and merge requirements will work.
The Gemini Live API enables low-latency, real-time voice and vision interactions with Gemini. It processes continuous streams of audio, images, and text to deliver immediate, human-like responses. The API creates a natural conversational experience for users. It can be used to build real-time agents for a variety of industries.
Usually, an acquisition means selling the company. Domo is selling almost everything that makes it Domo and keeping the public company alive. After it broke a debt covenant, its lender gave it until July 31 to sign a deal. Progress Software is paying $400 million for the software, customers, and IP. What remains will have about $246 million in cash and $900 million in tax losses it can use against future profits. Progress gets the business. Domo's management gets another shot at buying something else.
Mercor says it crossed a $2 billion annualized revenue run rate after doubling in four months, making it one of the fastest-growing AI companies. It's always good to see what a company like that actually looked like in the beginning. In this case, it was a software agency finding engineers through IIT coding clubs, Facebook ads, and hackathons with a $71 prize pool. When clients asked to hire those engineers, the founders ran the marketplace through WhatsApp, Google Sheets, and PandaDoc. GPT-4 scoring and the AI interviewer came later, once that manual process started to break.
This post contains a bunch of tips and processes for working with large language models learned from working with AI over the past couple of years.
Customer Watch is an always-on agent that monitors every Parallel account for usage spikes, errors, payment failures, and customer news, then posts into a Slack thread with the right account manager looped in.
A Reddit complaint about a tool someone already pays for can be more useful than a "recommend me a tool" post.
If you're going through an acquisition process, one thing to figure out quickly is what the acquirer actually wants.
AI Overviews have become a core part of how people search. AI Mode visits have grown fast, showing how Google is actively pulling users toward a more conversational search experience. ChatGPT's share is declining as Gemini and Claude gain real ground. Referrals, citations, and ad placements are rewriting the rules of visibility month to month.
AI founders need to choose between two sales strategies: Lighthouse focuses on securing prestigious clients for social proof, essential for new categories. Landgrab emphasizes speed and broad customer acquisition when the market already understands the product. Each strategy caters to different buyer needs and risks, so choosing the right approach can significantly impact success.
Code review was built for a world where humans wrote code slowly and reading the lines was how you earned confidence in a change. The companies that rebuild around how software actually gets made now will win because of the operating speed it gives them. AI gives companies more shots to iterate toward the right answer before competitors can plan their way there. It also frees engineers to do the creative, high-leverage work they signed up for.
Prioritization is a trap that wastes time and effort and delivers worse results than just executing faster. Spend more time focusing on building faster. Shift everyone into durable teams that don't have to do cross-business prioritization at all. Manage 'prioritization' through resource decisions to grow, downsize, or split teams.
CEOs are responsible for building an enduring company. For the company to grow, the CEO must grow across all dimensions. Instead of identifying your known strengths, chip away at the ossified shell you've been carrying for protection. This will uncover new areas of strength you never knew you could have.
CEOs must take ownership of decisions rather than deferring to their boards, as doing otherwise invites external control. Founders should articulate clear strategies on people, product, and financial velocity to maintain autonomy and build board trust. Successful management demands informed decision-making, a strong organizational vision, and a proactive approach to addressing challenges.
Codex Security CLI has been open-sourced. It allows users to scan repositories, track findings across runs, verify fixes, and add security checks to CI/CD. Codex Security helps security and engineering teams find, confirm, and fix vulnerabilities.
MCP 2026-07-28 is the largest update to the protocol since launch. It is now easier to deploy and scale remote servers. MCP is now stateless, so it can be deployed on serverless and edge infrastructure, or scaled horizontally behind any load balancer. There is now a formal path to extend the protocol.
After their first startup failed, the founders of Bending Spoons were left with $40,000 and a lesson. They thought finding product-market fit involved a lot of luck, while running a software business well was mostly skill. So they spent $10,000 buying an app that already had users. Bending Spoons has now done this more than 50 times, including Evernote, Vimeo, and WeTransfer. Every product gets the same pricing, data, and experimentation system. Remini alone ran more than 1,000 monetization tests. The system behind the apps is really what they have been building.
AI-driven wealth may shift philanthropy as tech founders choose to integrate profit with societal good, blurring lines between companies and nonprofits. Some mission-driven companies already tie growth to positive outcomes, such as health improvements or environmental benefits. This trend suggests impactful future social institutions will be profit-aligned businesses rather than traditional nonprofits.
AI startups increasingly prioritize speed, adaptability, and proven ambition over degrees, while colleges struggle to match technological change.
Teenage founders can now raise quickly, while some incubators still take 15% to 20% for $100,000 and a desk.
A nontechnical founder bought a niche Patreon alternative for $6,000, reached 95% margins, and sold it for $3.5 million.
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