Nathan Maxwell

Builder
I build software and run a gaming club.
What I'm working on, and why.

Problems

  1. P1.Data loss and cognitive overload when coaching multiple swimmers
  2. P2.AI agents don't carry context across sessions
  3. P3.Agents as assistants, not thinking partners

Missions

  1. M1.Build a context system that compounds with me, so my AI learns from every conversation
  2. M2.Use software and AI to multiply what I can do
  3. M3.Build software that lets coaches coach

Challenges

  1. C1.Balancing build time vs. distribution time
  2. C2.Signal vs. noise at scale in the inbox

Current Projects 4

Felt Faction
A 12-person gaming club where the casino is the draw and networking happens naturally.
active · impact 520
Parasym
iOS app that connects to a Morpheus M7 (or any BLE chest strap exposing R-R intervals) and correlates the realtime HR + HRV data with Apple HealthKit to produce personalized health insights. **Realtime workout mode (HRR + motion fusion) is fully deferred to v0.2.**
planning · impact 130
gbrain omnipresence rollout
Make my second brain available everywhere I work.
in-progress · impact 120
Games Room
A game-night companion app being productized from the Felt Faction program so other groups can run their own games nights.
active · impact 20

Current thinking 5

What I'm thinking about right now. Click any idea for the thesis — what the idea is, how it's structured, and where it sits in the network.

  • concept2026-07-23 · refreshed 2026-07-24
    Account security increasingly depends on a layer of automated notifications most users treat as routine noise rather than urgent signals. Google's app-password system and third-party OAuth grants are particularly dangerous precisely because they create persistent access with minimal friction, and the only real defense is the alert that fires to the recovery email — a secondary channel that quietly doubles as an audit trail and an early-warning canary. The narrow window between an alert being issued and a user acting on it is where account control is won or lost; dismissing these notifications as phishing or
  • concept2026-07-23 · refreshed 2026-07-24
    Belief formation is far less rational than it feels—most convictions are not the product of evidence weighing but of inherited disposition, trust in authority, emotional intensity, and repetition, with only a small fraction of what we hold to be true actually earned through our own reasoning. The atoms suggest a two-tier reality in which genetic wiring and early social environment pre-load roughly half of our ideological defaults, trust (not data) does most of the remaining load-bearing work, and conviction itself is then mistaken for proof, creating a closed loop where strong feelings substitute for due diligence. Crucially, the same mechanisms that build beliefs—self-repetition, bias as constructor rather than filter, desperation-driven credulity, and internalized indoctrination—also ope
  • concept2026-07-23 · refreshed 2026-07-24
    Debugging discipline means treating verification as evidence at the user-visible surface, not at the parameter you just edited — a raised cap or green test means nothing until someone opens the actual output and sees the bug gone. It also means tracing root causes before applying fixes, because conflating a limit (the cap) with a shape (what the function actually returns) produces clean deploys that change nothing for users and lock in the wrong diagnosis for the next attempt. Every subagent edit must be read or grepped back individually, since silent no-ops hide inside batches even when the run reports success. And a known bug noted in passing is not neutral: deferring it compounds the cost, erodes trust, and trains the habit of working in a broken session instead of stopping to repair it
  • concept2026-07-23 · refreshed 2026-07-24
    Decision quality depends less on being right than on being calibrated — matching the confidence of a claim to the strength of the evidence behind it. The dominant failure mode is not provisional wrongness but confident wrongness, where bold assertions built on thin evidence compound errors far faster than humble guesses ever could, and where false precision, once tolerated at the top, spreads virally through an organization until honest ranges feel unprofessional and bad estimates go unchallenged. High
  • concept2026-07-23 · refreshed 2026-07-24
    User experience is judged at the smallest, most human moments rather than on specification sheets, which is why micro-interactions like opening a door or completing a login often matter more than headline features. The strongest patterns anticipate user needs through prevention, recognition over recall, and sensible defaults, externalizing cognition and safety onto the interface itself rather than relying on error messages after the fact. Conversely, products that promise what they cannot deliver—whether through false affordances
  • concept2026-07-21 · refreshed 2026-07-22
    psychology is the peculiar inner operating system shared by people who build things others won't — a mindset that treats conventional odds as suggestions, conventional politeness as a liability, and conventional comfort as the real enemy. It is forged in environments of scarcity, immigrant urgency, or unchosen hardship, where the default path is reframed not as a fallback but as a runway that must end in profit, impact, or proof of life. Founders trade the social reward of being liked for the asymmetric upside of being remembered, willingly polarizing because, as the logic goes, being wallpaper is the more existential risk than being offensive. Loss — of an employee, a role, a version of themselves — gets metabolized into evidence of usefulness rather than failure, with the operative quest
  • concept2026-07-21 · refreshed 2026-07-22
    Talent evaluation is consistently distorted by three failure modes: domain blind spots that even experts carry, miscalibrated reference points at the elite tier, and arbitrary thresholds that masquerade as objective standards. Reliable assessment therefore depends on quantification over vibes — turning outputs, intelligence per dollar, or peer-submitted rewrites into comparable numbers rather than trusting impressions or declared cutoffs. Adversarial or stress-test environments like combat sports, callback bars, and live work samples expose what surface signals (fame, polish, marketing) hide, because genuine skill shows up only when someone pushes back hard. The practical takeaway across domains is the same: trust measurable output adjusted for context, distrust the calibration of anyone a
  • concept2026-07-20 · refreshed 2026-07-21
    Agency is the demonstrated capacity to act, choose, and commit—often before circumstances seem to justify it. Across stories of exponential compounding, breakthrough roles, and unlikely competitors, the through-line is consistent: visible pursuit and willingness to bear risk signal far more potential than credentials, resources, or static status ever can. True agency demands psychological flexibility—ego that can bend toward a larger goal, hunger that survives early success, and the nerve to keep moving when the outcome is unproven. It compounds quietly for long stretches before its returns erupt, which is exactly why the people who exercise it earliest and most consistently tend to shape outcomes far beyond their initial stake. In short, agency isn't granted by position or pedigree; it's

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Preferences

OS
macOS
Tools
Xcode wrangler bun tsx sqlite ripgrep git obsidian zotero gbrain hermes-agent
Communication
Direct, honest.