Spikemap
Opening soonFor CGM wearers: Stelo and Lingo users, prediabetes, biohackers

See the spike before you order.

Spikemap pools readings from people who wear Dexcom and Libre glucose monitors, so you can see how a real restaurant dish moved blood sugar for people like you.

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spikemap.thetowers.ai
SpikemapOne person, 4 AI agents
Live
  1. Ingesting chain menus0%
  2. Matching meals to dishesQueued
  3. Cleaning outlier readingsQueued
  4. Writing weekly chain reportsQueued
  5. Keeping consent recordsQueued
Ready for youThe dish map
The ownerOwns consent and signs data contracts
How it works

Crowdsourced glucose spikes for real restaurant dishes, so you know before you order.

Restaurants rated by bodies, not stars. Contributors connect a glucose monitor and log what they ate, and Spikemap shows the median 2-hour rise for each dish across people like you. Later, chains get a consented, de-identified report on their own menus.

  1. Step 01

    Pick the restaurant and the dish

    Agents load chain menus and match every dish, so you can find the exact burrito or bowl you’re about to order.

  2. Step 02

    Connect your glucose monitor

    Contributors link Dexcom or Libre through an aggregator API. Every reading is consented, cleaned of outliers and de-identified.

  3. Step 03

    See the median rise for people like you

    Each dish shows the median 2-hour glucose rise across contributors like you, because responses vary from person to person.

What you get

Built for CGM wearers: Stelo and Lingo users, prediabetes, biohackers.

01

The dish map

Median 2-hour glucose rises for real dishes at real chains, from contributors like you.

02

Lowest-spike orders, chain by chain

Pages like the lowest glucose spike order at Chipotle, built from contributors’ data.

03

Tested-dish reports, later

A consented, de-identified dish-level dataset and report for chains and food companies reworking their menus.

First up: We’re seeding big chains’ menus first, then publishing pages like “the lowest glucose spike order at Chipotle” from our first contributors’ data.

Why now

The world just changed.

What changed, and where it was reported.

  1. Dexcom Stelo became the first over-the-counter CGM in the US, usable by people without diabetes. Abbott’s Lingo targets healthy users.

    MedTech Dive
  2. Chipotle labels dishes “GLP-1 friendly”, Smoothie King and Shake Shack sell health menus, and 11-12% of US adults now use GLP-1 drugs.

    Good Morning America
  3. The closest player, Tastermonial, ranks packaged foods by CGM data, not restaurant dishes. No live restaurant-dish CGM aggregator was found.

    Terra
Who runs it

One person and 4 AI agents.

4AI agents doing the daily work
24/7They don’t clock off
1Person who signs off on what matters

The agents, all day

  • Ingesting chain menus
  • Matching meals to dishes
  • Cleaning outlier readings
  • Writing weekly chain reports
  • Keeping consent records

What a person does

Privacy counsel sets up consent, de-identification and data-licence terms under the FTC Health Breach Notification Rule and Washington’s My Health My Data Act, possibly with an ethics review. A person signs every data contract.

Questions

Straight answers.

Get early access
Is this medical advice?

No. Spikemap shows how dishes moved blood sugar for other people. Responses vary, so it shows the median for people like you, never a personal prediction or treatment advice.

What happens to my glucose data?

You contribute only with consent. Readings are de-identified, and any data shared with restaurants is consented and de-identified under terms set by privacy counsel.

Why is my favorite restaurant empty?

The map fills as contributors log meals. We start with big chains’ menus and add dishes as readings come in.

Opening soon

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  • No spam