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Lightfield [10] is the AI-native CRM with outbound agents. You talk to customers while they score accounts against your won deals, draft sequences from your conversations, and surface warm intro paths. Agents build the list and run the sequences. You sell.
Extract emails and leads from social platforms and Google Maps using location-based scraping filters.
Coordinate and manage teams of AI agents that collaborate on tasks across models and communication channels.
Turn your website into a 24/7 AI salesperson that answers visitor questions with voice conversations and captures leads.
Personal Injury succeeded as a business category by finding an economical way of making a value-aligned results-based service appeal to lots of people. The industry discovered unit economics that made a service that was previously out of scope for most people possible at scale. AI is in a similar position: it is an accelerator or enabler of new consumer business models.
Advisors should fill genuine gaps in knowledge and connections, not be used as workarounds for needed hires. Real relationships, not formal agreements with strangers, provide meaningful advisory benefits. Engaging advisors who understand and support the business without requiring frequent meetings adds real value.
Deel is growing 50% at $1.5B ARR with 17% EBITDA margins. Nobody public except Palantir is matching that pace. The CFO calls 2026 "accelerate or die" and Deel is treating it like a literal deadline. They opened a "Ghostbuster" role with a $10M waste-cutting target, shipped four major AI launches in three weeks, bought Sastrify, and the underlying story is that this playbook only works for companies sitting on a real moat to reinvest into, which Deel quietly built in payroll a decade ago.
The person you're asking to forward your intro should be able to hit F in Superhuman, type one line on top, and send it.
Win the game in front of you, but build like the game never ends.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
Synthetic customers are AI-generated digital twins or segment-based personas built from first-party behavioral and voice of customer data. They simulate how customers respond to products and messaging, helping teams test ideas faster and eliminate weak concepts early. When grounded in proprietary data, they can closely match real survey and conjoint outcomes, often replicating up to 90% of key results. They're used to augment traditional research for faster decision-making.
The share of marketers and agency professionals commuting to work has risen from 63% in April 2022 to 92% in April 2026, with 53% now in the office five days a week. That pace has closed and slightly overtaken the general population, which had been 23 points ahead on return-to-office rates in early 2022 but now trails by 7 points. The gap in average weekly office days remains, with ad professionals at 4.4 days versus 4.7 for the broader workforce, and both groups show Friday as the lowest-attendance weekday.
Google announced at I/O what it called the biggest change to Search in 25 years, replacing the traditional link-based results page with AI-powered interactive experiences, custom widgets, and "information agents" that monitor the web on a user's behalf. AI Overviews already reach 2.5 billion monthly users, and the new features will let Search generate dynamic layouts and mini apps built through natural-language commands.
Export 12 months of GSC data, including queries, impressions, clicks, CTR, and position. Upload it to Claude and ask it to find high-impression low-ranking keywords, near-ranking terms, topic clusters, and content gaps, then turn them into specific pages to create or update. Run a second prompt asking Claude to critique its own output, re-prioritize for impact, and convert it into a focused action plan. The result is a ranked list of SEO opportunities based on real search demand and your existing visibility.
Most teams misread retention drops because they skip the diagnosis step and jump straight into product changes. Instead, start by documenting an expected retention range so you can separate normal seasonal behavior from actual product issues. Then segment cohorts by acquisition source to compare referral, paid, and organic users independently instead of relying on blended averages. Finally, trace churn back to the first friction point in the user journey rather than the day users stop returning, since weak onboarding often creates delayed retention problems. The author used this process to estimate that 60% of a retention drop came from December seasonality and 40% came from onboarding friction, then set a measurable goal to improve the four-day streak rate from 3.8% to 6% to 8% in the next launch cycle.
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Ever wish you could spend less time duplicating work across Meta, Google, Reddit, LinkedIn, and other ad platforms? You need AdPlus [10]. Feed it a brief - it generates the creative and sets up your ads across 12 different platforms. No fuss, no platform-hopping, more
Chris Long, co-founder of Nectiv and a leading voice in AEO/SEO, will walk through findings from his analysis of more than 7 billion log files from some of the world's biggest companies. You'll learn how OpenAI crawls your site and come out with insights to help you be found on ChatGPT. The free webinar will take place on May 21 at 11 AM ET.
MCP servers connected Claude to tools like Customer.io and Notion, enabling access to customer data and direct management of onboarding emails in one interface. A Notion doc with feature updates and a link to a three-email sequence was used as input, along with clear instructions and constraints similar to briefing a junior collaborator. Claude executed multiple tool calls, with each step reviewed and approved. Outputs included rewrites to welcome copy, updated subject lines, and shifts from future to present tense messaging. This replaced manual cross tool editing with a guided workflow where changes were directed and approved inside Claude.
Under Armour illustrates what happens when a brand expands into adjacent categories without a clear brand promise anchoring its identity. The company's mission centers on making athletes better, but years of chasing athleisure, yoga, and lifestyle segments left consumers unsure who the brand is actually for. Deal-heavy sales attracted price-sensitive buyers who churned when discounts ended, and a good-better-best pricing tier strategy undermined the premium performance positioning the brand was built on.
Large marketing organizations are struggling to implement AI at scale, often because enterprise-wide platform deals push tools onto marketing teams that weren't designed for their needs. This creates an opening for challenger brands, which can move faster with marketing-native AI tools and close resource gaps that previously required agency retainers or dedicated data analysts. AI's near-term impact on advertising may be less about making giants leaner and more about leveling the playing field for smaller competitors.
TLDR is hiring a VP of Marketing to scale growth, pipeline, and brand across 8M+ subscribers, 13 newsletters, and advertisers like AWS, Google Cloud, Microsoft, and Anthropic. Apply here [17].
Fractional is flexible senior ownership tied to outcomes, while a retainer is fixed deliverables tied to output.
Spotify's disco ball icon sparked backlash, fueled virality, and told a brand story worth studying.
Consumer ChatGPT usage splits between work and personal, with non-work at about 55%–60% and work at roughly 40%-45%.
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86% of surveyed users say AI helps them better understand their money, but most tools still aren't built around real financial context. With the new personal finance experience in ChatGPT [4], they can now get guidance around spending, saving, and cash flow—all powered by Plaid.
This new experience in ChatGPT is part of a shift toward intelligent finance—where AI, secure data connectivity, and consumer trust come together to help people make more informed financial decisions.
Meta is moving 7,000 employees to four new organizations focused on building new AI tools and apps. The organizations will use AI native design structures and have fewer managers per employee than other parts of the company. CEO Mark Zuckerberg has bet the future of Meta on AI. The company plans to spend up to $135 billion in capital expenditures this year, much of it going to building computing facilities that power AI and hiring researchers.
A judge has dismissed Elon Musk's claims against OpenAI. A jury found that Musk brought the lawsuit against the company and Sam Altman after the statute of limitations expired. Musk says he plans to appeal and described the ruling as a destructive precedent. OpenAI now has a clear path to a public listing.
Unitree Robotics recently filed for IPO on Shanghai's STAR Market. The company is profitable and growing fast. It has shipped more humanoid robots than any other company in the world. This post looks at what Unitree makes, its revenue mix, its customers, its vertically integrated approach, the financial picture, and Unitree's model layer ambitions.
The FCC has published images of Amazon's Wi-Fi router for Leo. The router supports Wi-Fi 6 and a mesh mode. The basic-looking, box-shaped router has a power port and two Ethernet ports, one specifically for the Leo dish. It supports Bluetooth Low Energy and the ZigBee wireless protocol.
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Datadog's guide to AI ROI [9] breaks down how to proactively monitor AI costs by token, model, provider, and team. Don't wait until the bill comes - put cost data directly in front of the engineers making
Cloudflare was invited to use Mythos Preview as part of Project Glasswing. The company pointed it at more than 50 of its repositories to see what it would find and to see how it works. This post shares what the company observed, what the model did well and what it didn't, and how it can be improved. Mythos Preview is a real step forward, and its existence raises questions about how security should be handled in the near future.
browse is a browser CLI designed to be driven by AI agents. It gives AI agents skills for automating websites. Agents can navigate any page with low-level primitives. Users can see exactly what the page did in real time. All CLI commands work natively with local Chromium. Users have the option to switch to remote sessions.
Big tech is pouring around $700 billion into AI capital expenditures this year. Under-investing is seen as the bigger risk. Foundation models are commoditizing fast, and real value is shifting up the stack to applications, agents, and workflows. Adoption is wide, but shallow. Deep integration is still rare outside of tech and finance.
Meta's plans to build the world's biggest AI facility have entangled it deeply into Louisiana's politics, culture, and economy. The facility is expected to reach 5 gigawatts of compute capacity. The company plans to spend more than $200 billion on the project. This article looks at the series of deals Meta had to make to even start the project and how the project has impacted the locals in the area.
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Granola transcribes your calls without the awkward meeting bot and expands on your thoughts to make your notes awesome. Plus it follows up for you. 1 month free with code: [15]TLDR1MO
Repurposing chips is one of the many ways Apple leverages its supply chain.
A lot of people do not like AI and the infrastructure projects supporting it.
This post looks at three predictions about product management and whether they are real or hype, then it discusses a fourth archetype that is rarely mentioned but worth knowing about.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
Human workflows and agent lifecycles want different things.
The new company aims to bring 500 megawatts of capacity online in 2027 and substantially increase capacity over time.
When a user asks something weird, don't answer the first version of the question: figure out what they really meant, then answer that.
* Setup reranking and recommendations grounded in retrieved sources
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Are you asking users to put up with search timeouts, empty results, or irrelevant answers? This Algolia whitepaper [4] lays out the full stack of architecture & data foundations for AI search.