Explore intelligence

Recommendation · Money

Inspect for economic buyer access early in the deal cycle using AI

Inspect for economic buyer access early in the deal cycle by pulling call data from Gong and CRM enrichment tools like Clay to verify contact with the decision-maker, not just the rep's claim. Build a mechanism to inspect how contact was made with the economic buyer (direct vs. indirect connection) to get deeper deal intelligence.

30 Minutes to President's Club | No-Nonsense Sales · #605 - How to Build a Cleaner Sales Pipeline in the Age of AI | Stevie Case

Recommendation from Stevie Case

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Measure pipeline conversion within a specific window, not just overall rate

When inspecting pipeline, measure the window within which deals convert and exclude deals outside that window from coverage ratio to avoid diluting your view of real coverage.

30 Minutes to President's Club | No-Nonsense Sales · #605 - How to Build a Cleaner Sales Pipeline in the Age of AI | Stevie Case

Recommendation from Stevie Case

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Pick a metric you can actually move during the pilot

Mark (host) recommends picking a metric you can actually move during the pilot, not a downstream metric with too many variables. Shaun Crimmins agrees, advising to pick a metric the buyer cares about that ties back to broader business impact (revenue or cost), move it during the pilot, then present the extrapolated annual value to the business champion. Don't try to tie the pilot metric directly to revenue or risk in the initial kickoff; start with the operational metric the buyer cares about and connect it to business impact later.

30 Minutes to President's Club | No-Nonsense Sales · #607 - How to Turn Every Sales Pilot Into a Closed Deal | Shaun Crimmins

Recommendation from Shaun Crimmins

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Build two champions: a business champion and a technical champion

Shaun Crimmins recommends building two champions: a business champion responsible for the outcome and a technical champion living in the workflow every day. Identify both before entering a pilot. For the technical champion, learn how they do their work today, what metrics they care about, and how you can show tangible value to them in a short period of time. Deliver value to the technical champion to make their life easier so they are less likely to say the team can build the solution themselves. Consider the politics behind each champion: what they have to gain or lose by you coming into the organization.

30 Minutes to President's Club | No-Nonsense Sales · #607 - How to Turn Every Sales Pilot Into a Closed Deal | Shaun Crimmins

Recommendation from Shaun Crimmins

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Agree on conversion criteria before the pilot starts

Shaun Crimmins recommends agreeing on conversion criteria before the pilot starts: define success upfront and establish that hitting those outcomes should lead to a paid agreement. At the week-zero kickoff, ask the customer: 'If we achieve these agreed-upon success metrics, will you move forward?' If the customer answers 'no', it indicates the metrics don't truly matter, the deal is not a priority, or you are not talking to the right stakeholders. Use this question to surface hidden blockers such as politics, other stakeholders, or competing business priorities early in the pilot.

30 Minutes to President's Club | No-Nonsense Sales · #607 - How to Turn Every Sales Pilot Into a Closed Deal | Shaun Crimmins

Recommendation from Shaun Crimmins

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When to Quit as a Non-Founder Employee

Rob Walling advises that if a founder is not willing to go full-time on their own startup, it is a vote of no confidence and the company is unlikely to succeed. As a non-founder employee in such a startup, you should leave—the slow traction is structural, not a product problem. He recommends either starting your own company or getting a job elsewhere. He describes a specific situation where a founder is part-time, has hired a remote CEO while the team is co-located, which he calls a structural disaster.

Startups For the Rest of Us · Episode 849 | Legal Threats, AI as Platform Risk, Building Confidence, and More Listener Questions (Rob Solo)

Recommendation from Rob Walling

Principle · Money

Aim products at where models will be in two to three months

Tara Sesha recommends aiming products at where models will be in two to three months rather than anchoring in the present or being overly futuristic, since predictions years out are almost always wrong but building only for today gets you left behind.

Lenny's Podcast · Stop planning for 2027: how OpenAI builds product 90 days at a time | Tara Sesha and Nan Yu (OpenAI)

Claim from Tara Sesha

Report · Money

Signal outputs: datasets for evals, GitHub issues, and auto-opened PRs to approve

When Signal finds a problem, its report lets you add the failing trace to a dataset so you can run evals on it, or create an evaluator based on the problem. It creates a GitHub issue completely describing the problem — which trace went wrong, how to find it, and where to fix it. Connected to your repo, Signal can open PRs directly with suggested fixes; instead of manually reading traces or evals, you review a queue of auto-generated PRs and approve or reject them.

AI Engineer · From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 — Laurie Voss, Arize AI

Claim from Laurie Voss

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Closing the loop: ask the agent to fix the identified problem, reviewing permissions before approving

To close the loop from observability to automatic fixing, the speaker asked the agent to fix the specific identified problem. When the agent asked for broad permissions, hitting yes-to-all would upset his head of security, so the agent's proposed actions were reviewed before approval.

AI Engineer · From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 — Laurie Voss, Arize AI

Claim from Laurie Voss

Report · Money

Change Failure Rate Volatility and Quality Risks

DORA change failure rate impact is volatile. AI has changed the amplitude of this volatility, with some companies seeing up to a 2% increase (potentially 50% more defects). This volatility exists without AI but is amplified by it, influenced by release pipelines and testing.

AI Engineer · The State of AI in Software Development: Data from 400+ Orgs — Justin Reock, DX

Claim from Justin Riach

moderate

Recommendation · Money

Bake a super hook into high-TAM posts; with structure and no dead space there's no reason not to go viral

Bake a super hook into a high-TAM post — e.g., on the 10,000 steps topic: 'in 2007, a group of Japanese researchers discovered a different walking protocol that can give you more results in less time'. A high-TAM post with a structured layout and no dead space (no shitty lines that could have been removed) has no reason not to go viral. Eugene spends a lot of time removing dead space and shitty lines from his scripts.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Eugene Teo

endorsed; virality claim is a strong heuristic, not a guarantee

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For traditional bangers, aim for super high TAM and topics your mum would recognise

Eugene Teo explains that for a traditional banger with high engagement, the first principle is a super high TAM (potential market reach). He recommends choosing topics your mum would recognise — like 10,000 steps a day or Diet Coke and aspartame — and approaching topic selection with an SEO mindset, identifying keywords that tick for the human brain, not Google.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Eugene Teo

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Use direct callout hooks like 'you need to throw heavy shit' over generic list intros

A direct callout hook like 'you need to throw heavy shit' is a stronger hook for explosive training content than a generic 'here are five exercises that will make you really explosive and powerful' opener, which many creators fall flat with. Callouts make viewers who already do the behavior feel validated and viewers who don't feel curious.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Unknown speaker

endorsed; mechanism described rather than measured

Recommendation · Money

Lean into being an active coach: film raw fly-on-the-wall training sessions

Eugene Teo recommends leaning into being an active coach as a content strength, since influencers mostly have production studios rather than training studios with real hard-working live athletes. He suggests having a videographer follow you when training athletes, clipping the best raw footage, and posting it without heavy structure or hype edits — picking a session or two with an athlete each week.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Eugene Teo

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Make sales outside short form: use long form, YouTube, and email funnels

Eugene Teo prefers to make actual sales conversions outside of short form content, on long form where viewers have more time to build trust. He suggests sending people to a YouTube video where they're more inclined to buy, or sending an email with a PDF guide where you can include an upsell — allowing many iterations of conversion funnels. Short form should be set up in your ecosystem as lead gathering, not conversion, though you could give a download off your story.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Eugene Teo

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Position content around adaptations and outcomes, not specific sports

Eugene Teo recommends keeping content adaptation-focused or outcome-focused (e.g., explosiveness) rather than sport-niche focused, so it appeals across sports. Sport-specific content still reaches its target audience when framed around the outcome, and occasionally featuring a sport-specific example (swimmers, BJJ, wrestlers) is fine while keeping the framing adaptation-focused.

Garage Strength · The New Rules of Social Media Fitness (2027) w/ Eugene Teo

Recommendation from Eugene Teo

Method · Money

Feedback policy for training cells: synchronous/asynchronous stimulation scaled by critic-predicted surprise

If the cells do something bad in the game, give them asynchronous stimulation; if they do something good, give them synchronous stimulation. Use the critic in the silicon decoder to predict surprise — figure out how far the action is from the silicon critic and how surprising it is — then scale feedback based on that surprise. If the critic expected an action to be good and it turned out really bad, the cells receive negative feedback. Scaling feedback by surprise modulates it in a more equal way so the system doesn't keep receiving negative feedback and can build connections over time. Positive and negative feedback are defined in relation to the game — if it does something bad in the game, asynchronous feedback is sent to reinforce not doing that action.

Y Combinator · What If We Stopped Using GPUs? | YC Paper Club

Method described by guest

Method preserved for inspection; not a verified protocol.

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Maintain familiar patterns: keep core actions, shortcuts, and workflows stable

Maintain familiar patterns whenever possible when changing software for legacy users. Moving buttons, changing labels, or altering shortcuts forces users to stop and think, which slows them down. This could mean keeping core actions in the same place even if the surrounding UI changes, preserving keyboard shortcuts, or introducing new workflows alongside existing ones instead of replacing them immediately. If you have to break or substantially change a workflow, acknowledge it and help users adjust.

NNgroup · Are You Supporting Legacy Users?

Recommendation from NNgroup

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Give users control: gradual rollout, opt-in, and a path back to the old version

Try giving users control through gradual rollout, optional onboarding, or temporary access to familiar views to help them feel prepared instead of surprised. Roll out a new experience in phases, letting users opt in before it becomes the default, and allow them to switch back to the old version while they learn the new one. Feeling informed and in control reduces anxiety even when change is necessary.

NNgroup · Are You Supporting Legacy Users?

Recommendation from NNgroup

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Explain changes clearly: what changed, why, and what it means for daily work

The first step to making legacy users more comfortable is explaining changes clearly. Don't assume users will notice what changed or understand why it happened. Tell them what changed, why it changed, and what it means for their daily work. Even better, give them a roadmap for when things are changing so they know what's coming and can mentally prepare.

NNgroup · Are You Supporting Legacy Users?

Recommendation from NNgroup