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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.