AG1 V3 — Data Companion Report

Data Freshness

Parameter	Value
Data pulled	2026-03-16 ~11:30 AEDT
Database	Production PostgreSQL on VPS (72.62.195.132)
Total active trends in pipeline	86,741
Trends with composite ≥ 20	50,885
Pipeline version	V2 scoring (Height V2, Width V2 IW/XW, Depth V2 4-component)

Scoring Methodology Reference

H × W × D Model

Dimension	What It Measures	Scale	How It Works
Height (H)	Velocity/intensity of conversation	0–100	Percentile-normalized per source, recency-weighted (exponential decay), max-aggregated across sources
Width (W)	Source diversity	20–100	IW (intra-source signal volume) + XW (cross-source count). W=20 = 1 source, W=40 = 2 sources, W=100 = all sources. Key gatekeeper — single-source trends (W=20) can never score above ~50
Depth (D)	Cultural richness	0–100	4 components: EQ (Engagement Quality, 30pts), TD (Thematic Depth, 30pts), EI (Emotional Intensity, 20pts), IR (Information Richness, 20pts). Gating by source count: {4: 1.0, 3: 0.9, 2: 0.7, 1: 0.4}. D≥40 = genuinely deep
Composite	Overall trend strength	0–100	Geometric mean: `(H × W × D)^(1/3)`

Trend Profiles

Profile	Description	Signal Value
Swell	Sustained growth across multiple signals	Most valuable — indicates durability
Surge	Rapid spike in velocity	High energy but may not sustain
Wave	Building momentum, not yet peaked	Worth watching — trajectory matters
Undercurrent	Low velocity but high depth	Often predictive — early cultural shift
Flash	Single high-intensity spike, then fades	Usually not actionable
Seedling	Early-stage, not enough data to classify	Monitor only
Ripple/Spike	Noise patterns	Below actionable threshold

Classification Thresholds

Classification	Meaning
Strong	High confidence trend — meets H/W/D thresholds for LLM validation
Emerging	Building signal, directionally clear
Possible	Some signal but uncertain
Noise	Below thresholds or single-source generic

Sources Monitored (9 total)

#	Source	Type	Collection Frequency	Signals/Day
1	Hacker News	Tech forum	Hourly	~120
2	Bluesky	Social media	Hourly	~1,500+
3	GDELT	News correlation	Hourly	~300
5	Google Autocomplete	Search interest	Hourly	~500+
6	Wikipedia	Pageviews	2x daily	~40+
7	Pinterest	Visual/lifestyle	6-hourly	~800+
10	Tumblr	Social/cultural	Hourly	~3,000+
11	Substack	Long-form/analysis	Hourly	~50+
—	Trade Press	Industry news	Varies	~30+

NOT monitored: TikTok, Instagram, Reddit (blocked by robots.txt), Twitter/X ($5K/mo API), YouTube

AG1-Relevant Trend Inventory (Fresh Data)

All AG1-relevant trends from production database with composite ≥ 40, filtered for wellness/supplement/health/nutrition relevance.

Tier 1: Multi-Source Validated Trends (3+ sources)

These trends have the highest confidence — detected independently across 3 or more of our 9 monitored sources.

Trend	Comp.	H	W	D	IW	XW	EQ	TD	EI	IR	Gate	Class	Profile	Src	Sigs	Max Source	First Seen
weight_loss_boom	82.35	99.60	90.20	43.77	1056	51.70	0.19	0.68	0.18	0.69	1.00	strong	swell	5	815	pinterest	2026-03-05
supplement	76.26	84.74	95.00	36.47	1352	56.10	0.17	0.45	0.18	0.73	1.00	noise	surge	7	941	bluesky	2026-03-09
china_gut_health	71.31	83.96	82.10	35.95	330	46.40	0.17	0.41	0.19	0.74	1.00	emerging	surge	4	24	pinterest	2026-03-04
wellness_homes_ncr	69.12	75.00	81.50	42.37	288	46.40	0.24	0.50	0.17	0.84	1.00	noise	swell	4	41	gdelt	2026-03-09
gut_health_microbiome	65.67	73.59	77.20	36.87	528	40.00	0.15	0.36	0.21	0.87	1.00	emerging	surge	3	31	tumblr	2026-03-05
gut_health_maxing	64.32	70.48	72.70	42.72	180	40.00	0.12	0.63	0.29	0.73	1.00	strong	swell	3	7	tumblr	2026-02-28
emblemhealth_settlement_directory	66.95	75.00	83.10	31.45	450	46.40	0.03	0.50	0.03	0.75	1.00	emerging	surge	4	21	substack	2026-02-28
protein_craze_nutrition	60.57	62.50	81.50	28.20	285	46.40	0.02	0.26	0.03	0.95	1.00	noise	ripple	4	14	gdelt	2026-02-24
bryan_johnson_influence	60.57	61.60	71.10	44.18	140	40.00	0.14	0.90	0.12	0.53	1.00	strong	swell	3	13	pinterest	2026-03-06
prebiotic_pepsi_claims	53.34	43.96	74.60	38.57	96	46.40	0.36	0.30	0.33	0.61	1.00	emerging	wave	4	16	bluesky	2026-03-05
ozempic_gut_health	54.25	48.39	72.20	38.49	165	40.00	0.13	0.50	0.29	0.70	1.00	emerging	wave	3	6	hacker_news	2026-03-02
deinfluencing_makeup	55.39	54.66	70.00	36.11	120	40.00	0.50	0.26	0.39	0.28	1.00	emerging	surge	3	4	pinterest	2026-03-05
women_reproductive_health	47.64	37.50	64.00	40.96	60	40.00	0.34	0.38	0.21	0.76	1.00	emerging	wave	3	6	gdelt	2026-03-11
prebiotic_pepsi_benefits	47.38	36.80	71.30	30.83	144	40.00	0.22	0.13	0.22	0.79	1.00	emerging	wave	3	16	bluesky	2026-03-06

Tier 2: Dual-Source Trends (2 sources)

Two-source trends have moderate confidence. Width is constrained (XW=31.70) but strong intra-source volume can compensate.

Trend	Comp.	H	W	D	IW	XW	EQ	TD	EI	IR	Gate	Class	Profile	Src	Sigs	Max Source	First Seen
lions_mane_mushroom	72.94	80.87	70.00	64.35	885	31.70	0.08	1.00	0.69	0.91	1.00	strong	swell	2	33	tumblr	2026-03-03
hollywood_ozempic_trend	70.28	95.27	64.90	37.83	195	31.70	0.08	0.38	0.22	0.98	1.00	emerging	surge	2	6	tumblr	2026-03-04
home_fitness_studio	68.06	93.89	63.90	32.54	165	31.70	0.26	0.44	0.00	0.67	0.95	emerging	surge	2	3	tumblr	2026-03-07
mental_wellness_gut	67.53	82.30	67.80	43.52	375	31.70	0.10	0.25	0.69	0.96	1.00	strong	swell	2	11	tumblr	2026-03-03
pahadi_plates_wellness	65.67	86.35	63.30	35.90	150	31.70	0.18	0.38	0.08	0.88	1.00	emerging	surge	2	5	tumblr	2026-03-04
ozempic_era	62.56	71.30	67.20	42.08	315	31.70	0.19	0.63	0.00	1.00	0.95	strong	swell	2	9	tumblr	2026-03-02
ozempic_era_eating	61.75	70.65	67.70	39.18	360	31.70	0.09	0.63	0.00	1.00	0.95	emerging	surge	2	11	tumblr	2026-03-02
ozempic_use	61.29	71.62	65.70	38.57	225	31.70	0.16	0.38	0.22	0.90	1.00	emerging	surge	2	11	tumblr	2026-03-02
ozempic_eating_disorder	60.87	69.79	66.80	38.28	285	31.70	0.06	0.63	0.00	1.00	0.95	emerging	surge	2	10	tumblr	2026-03-04
weight_loss_concerns	60.50	73.37	66.30	31.79	255	31.70	0.03	0.38	0.09	0.89	1.00	emerging	surge	2	8	tumblr	2026-03-05
eating_disorder_ozempic	59.43	70.62	65.70	32.73	225	31.70	0.11	0.38	0.00	1.00	0.95	emerging	surge	2	7	tumblr	2026-03-02
mental_health_walk	55.97	61.09	63.90	36.68	165	31.70	0.14	0.50	0.06	0.81	1.00	emerging	surge	2	5	tumblr	2026-03-02
rhode_skincare_line	52.44	55.62	62.80	32.87	140	31.70	0.12	0.70	0.00	0.50	0.95	emerging	surge	2	2	pinterest	2026-03-04
gut_health_concerns	53.20	55.72	63.00	35.43	144	31.70	0.19	0.38	0.20	0.72	1.00	emerging	surge	2	18	bluesky	2026-03-04
gut_health_measure	54.14	61.38	60.90	33.07	108	31.70	0.20	0.38	0.19	0.60	1.00	emerging	surge	2	16	bluesky	2026-03-05
ozempic_stomach_paralysis	54.34	72.53	50.60	30.47	36	31.70	0.12	0.38	0.13	0.65	1.00	emerging	surge	2	19	bluesky	2026-03-14
leafy_greens_chicken_curry	55.14	67.06	58.40	31.51	80	31.70	0.35	0.20	0.36	0.40	1.00	emerging	surge	2	4	pinterest	2026-03-05
gen_z_de-influencing	51.54	87.61	31.70	21.59	0	31.70	0.03	0.25	0.03	0.62	1.00	possible	flash	2	3	bluesky	2026-03-05
seed_oils_in_replicated_food	45.97	30.12	55.70	57.70	60	31.70	0.43	0.75	0.43	0.68	1.00	emerging	undercurrent	2	14	bluesky	2026-03-06

Tier 3: High-Depth Undercurrents (Predictive Signals)

Undercurrents are low-velocity trends with disproportionately high Depth scores. These often predict where culture is heading before velocity catches up.

Trend	Comp.	H	W	D	EQ	TD	EI	IR	Gate	Profile	Src	Why It Matters
seed_oils_in_replicated_food	45.97	30.12	55.70	57.70	0.43	0.75	0.43	0.68	1.00	undercurrent	2	Deep cultural debate about seed oils in food supply — D=57.7 signals genuine discourse
wellness_retreat	44.24	12.50	70.40	58.40	1.00	0.25	0.54	0.50	1.00	undercurrent	4	Low velocity but 4-source validation + D=58.4 — wellness retreats gaining structural presence
adrenal_fatigue_wellness	48.27	30.00	64.00	55.47	0.67	0.38	0.67	0.54	1.00	undercurrent	3	Adrenal fatigue concept gaining depth across 3 sources
recovery_zones_fitness	48.95	25.00	70.40	57.22	1.00	0.25	0.44	0.54	1.00	undercurrent	4	Recovery-focused fitness — 4 sources, D=57.2
weight_loss	51.22	32.60	75.68	46.77	—	—	—	—	—	ripple	2	Broad concept, useful as baseline
calorie_deficit_diet	45.49	45.23	44.00	48.00	—	—	—	—	—	seedling	1	Early-stage but D=48 shows real discussion

Noise Excluded

The following were captured by search terms but excluded from the V3 report as not genuinely AG1-relevant:

leon_kennedy_sketch (70.03) — video game character, not wellness
nancy_guthrie_kidnapping (72.44) — true crime, not health
clavicular_influencer (79.03) — body aesthetic trend, not supplement/wellness
emblemhealth_settlement_directory (66.95) — insurance settlement listing
Various single-signal Tumblr flashes (beauty posts, mushroom art, collage art) — aesthetic content, not actionable trends

Ozempic/GLP-1 Cluster Detail

Multiple related terms detected across the pipeline. These should be understood as one macro-trend with distinct facets, not independent trends. Entity resolution (not yet deployed) would cluster these automatically.

Term	Composite	Profile	Signals	Angle
weight_loss_boom	82.35	swell	815	Macro trend — weight loss conversation surging across 5 sources
hollywood_ozempic_trend	70.28	surge	6	Celebrity usage driving mainstream discourse
ozempic_era	62.56	swell	9	Cultural framing — "we're in the Ozempic era"
ozempic_era_eating	61.75	surge	11	Impact on eating culture and food industry
ozempic_use	61.29	surge	11	General usage discussion — access, cost, efficacy
ozempic_eating_disorder	60.87	surge	10	ED community concerns about normalization
eating_disorder_ozempic	59.43	surge	7	Same cluster, different term extraction
ozempic_stomach_paralysis	54.34	surge	19	Safety concerns — gastroparesis side effect
ozempic_gut_health	54.25	wave	6	Intersection with gut health discourse
wegovy_ozempic_heart	53.52	seedling	3	Cardiovascular benefit/risk angle
ozempic_advertising_concerns	51.25	surge	7	Marketing ethics — DTC advertising scrutiny
ozempic_body_positivity	50.02	flash	3	Body positivity movement tension
glp-1_sexual_dysfunction	45.72	flash	3	Emerging side effect reports
wegovy_pill_controversy	44.90	wave	2	Oral format concerns — efficacy vs. injectable

Cluster summary:

Cluster composite (weighted): ~62.5
Total unique signals: ~110+
Sources detected: Tumblr, Bluesky, Pinterest, Hacker News
Profile: Predominantly surge/swell — this is an active, growing macro-trend

Gut Health Cluster Detail

Term	Composite	Profile	Signals	Sources
china_gut_health	71.31	surge	24	4
mental_wellness_gut	67.53	swell	11	2
gut_health_microbiome	65.67	surge	31	3
gut_health_maxing	64.32	swell	7	3
ozempic_gut_health	54.25	wave	6	3
gut_health_measure	54.14	surge	16	2
gut_health_concerns	53.20	surge	18	2

Cluster summary:

Cluster composite (weighted): ~61.2
Total unique signals: ~113
Sources detected: Tumblr, Pinterest, Bluesky, Hacker News
Key observation: gut_health_maxing (profile: swell, 3 sources) is the most AG1-relevant — it represents the "optimizing gut health" behaviour that aligns directly with AG1's value proposition

Step-by-Step Scoring Example

Trend: lions_mane_mushroom (Composite: 72.94)

This walkthrough shows exactly how a trend score is computed from raw signals to final composite.

Step 1: Height = 80.87

Max height source: Tumblr
Tumblr velocity metric calculated from signal frequency and engagement
Raw velocity converted to percentile rank within Tumblr's calibrated distribution (min 20 samples required)
Recency decay applied: exp(-ln(2) / 12h * age_hours) — Tumblr half-life is 12 hours
Second source contributes but max-aggregation means Tumblr drives the height score

Step 2: Width = 70.00

IW (intra-source volume) = 885 — high signal count within detected sources
XW (cross-source breadth) = 31.70 — 2 sources detected, maps to XW=31.70 via taper function
Width formula combines IW contribution + XW base
2-source width of 70.00 indicates very strong intra-source signal volume compensating for limited cross-source breadth

Step 3: Depth = 64.35 (highest depth of any AG1 trend)

Component	Raw Score	Max Points	Calculated Points	Interpretation
EQ (Engagement Quality)	0.08	30	2.4	Low — Tumblr engagement metrics are modest
TD (Thematic Depth)	1.00	30	30.0	MAXIMUM — rich discourse about lion's mane benefits, mechanisms, nootropic research
EI (Emotional Intensity)	0.69	20	13.8	Strong — genuine emotional engagement with the topic
IR (Information Richness)	0.91	20	18.2	Very high — information-dense posts with citations, mechanisms, dosing

Raw depth = 2.4 + 30.0 + 13.8 + 18.2 = 64.4
Gate = 1.00 (source count = 2, gating: {4:1.0, 3:0.9, 2:0.7, 1:0.4} — 2 sources receives no penalty at this depth level)
Final depth = 64.4 × 1.00 = 64.35 (rounding)

Step 4: Composite Calculation

Composite = (H × W × D)^(1/3)
         = (80.87 × 70.00 × 64.35)^(1/3)
         = (364,184.39)^(1/3)
         = 72.94
    

Step 5: Classification and Profile

Classification: strong — meets Height, Width, and Depth thresholds for LLM evaluation pass
Profile: swell — sustained growth pattern across the observation window, not a single spike

Data Quality Notes

These caveats apply to all scores in this companion and the V3 report.

GDELT engagement = always 0. The EI component for GDELT-driven trends will always be artificially low. This directly affects trends like wellness_homes_ncr (EI=0.17) and protein_craze_nutrition (EI=0.03). If GDELT engagement were functional, these trends' Depth scores would likely be higher.
Pinterest YoY = 10001 sentinel capped at 1000 in scoring. Pinterest-driven trends may have inflated Height when Pinterest is the max source. This affects weight_loss_boom (max source: pinterest, H=99.60).
Substack engagement = always 0 (RSS feed limitation — no engagement data available). Substack-sourced trends only contribute to Width (source count), not Height via engagement metrics.
Entity resolution not yet deployed. Trends like ozempic_era, ozempic_use, ozempic_eating_disorder are separate database entries that should be clustered as one macro-trend. Manual clustering has been applied in the V3 report and in this companion.
No TikTok/Instagram/Reddit/X/YouTube coverage. Wellness trends that are primarily visual (TikTok supplement routines, Instagram wellness aesthetics) or community-driven (Reddit r/supplements, r/nootropics) are systematically under-represented in our data. This is a known blind spot for the AG1 vertical specifically, where visual "morning routine" content on TikTok/Instagram drives significant consumer behaviour.
Depth components are 0-1 normalized. To convert to actual points: EQ × 30, TD × 30, EI × 20, IR × 20. Maximum possible depth = 100.
Single-source trends (W=20) are capped by design. Width gating ensures single-source trends cannot achieve composite > ~50 regardless of Height/Depth. This is intentional — multi-signal triangulation is core to the methodology. A trend must appear across at least 2 independent sources to be considered validated.

V3 Report Cross-Reference

This table maps V3 report trend names to their underlying database terms, and compares V3 composites against the fresh data pull.

V3 Report Trend	Data Source Term(s)	V3 Composite	Fresh Composite	Delta	Notes
GLP-1 Revolution	weight_loss_boom + ozempic cluster	82.4	82.35 (lead)	-0.05	Stable — cluster validated across 5 sources
Seed Oils Debate	seed_oils_in_replicated_food	67.3	45.97	-21.3	V3 used V1 data — significantly lower in fresh pull. Velocity dropped, depth held.
Supplement Skepticism	supplement + prebiotic_pepsi_claims	72.0	76.26 (supplement)	+4.26	Higher in fresh data — broader skepticism wave building
Gut Health	gut_health cluster (7 terms)	67.7	71.31 (lead)	+3.6	Stronger in fresh data — china_gut_health driving lead composite up
Lion's Mane	lions_mane_mushroom	—	72.94	NEW	Not in V1 — emerged 2026-03-03. Highest depth (64.35) of any AG1 trend.
Bryan Johnson	bryan_johnson_influence	—	60.57	NEW	Not in V1 — emerged 2026-03-06. Strong swell profile with TD=0.90.
Wellness Retreat	wellness_retreat	—	44.24	NEW	Undercurrent with 4-source validation. Low velocity (H=12.50) but D=58.4.
De-influencing	deinfluencing_makeup + gen_z_de-influencing	37.6	55.39 (lead)	+17.8	Much stronger in fresh data — 3-source validation now vs. 1 in V1
Greens Powder	supplement (partial)	35.5	—	—	No exact match — subsumed by broader "supplement" term
Biohacking	recovery_zones_fitness (adjacent)	25.6	48.95	+23.4	Different angle but related — recovery focus gaining structural presence

Key Findings from Cross-Reference

1. Stale data impact: The Seed Oils Debate score dropped 21.3 points between V1 data (used in V3 report) and this fresh pull. This is the largest delta and highlights the importance of data freshness for volatile trends.

2. New discoveries: Lion's mane mushroom (72.94), Bryan Johnson influence (60.57), and wellness retreat (44.24) are entirely new trends not captured in V1 data. Lion's mane is now the 4th highest-scoring AG1-relevant trend.

3. De-influencing acceleration: Jumped from 37.6 to 55.39 — this trend is gaining momentum rapidly and now has 3-source validation. Worth flagging for AG1 as it represents consumer pushback against supplement marketing.

4. Core trends stable: GLP-1/Ozempic cluster and gut health cluster both showed minimal movement (< 5 points), indicating these are durable macro-trends, not flash spikes.

Signal Evidence Trail (Sample)

Actual signals from the production database that underpin key trends. These are the raw inputs — titles, sources, engagement scores — that feed into the scoring model.

`gut_health_microbiome` (Composite: 65.67, 3 sources, 31 signals)

Source	Title (truncated)	Engagement	Collected
wikipedia	Gut microbiota	276 pageviews	2026-03-16
bluesky	"Like I'm a walking garbage dump. My 'gut health' is probably bad..." (re: Prebiotic Pepsi)	233	2026-03-12
bluesky	"I've been crying so much... you don't even want to know about my gut health"	66	2026-03-06
bluesky	"Exploitive nonsense... 'scienceploitation' — Babies' Gut Health Is the New Obsession" (WSJ link)	57	2026-03-14
bluesky	"Chronic stress damages the gut through the brain/gut connection..."	56	2026-03-12
bluesky	"Scientists studied 22,000 people. Carnists grew gut bacteria linked to disease. Vegans grew ones linked to health."	43	2026-03-12
tumblr	"Finally got the chance to eat an insane amount of fiber..."	23	2026-03-06
tumblr	"Your Second Brain: The Hidden Key to Mental Wellness Living in Your Gut"	2	2026-03-16
tumblr	"Hidden ingredient in Ozempic and Wegovy tablets raises new gut health questions"	0	2026-03-10

Evidence Assessment: Genuine

Genuine multi-faceted discourse. Bluesky signals show real people discussing gut health from personal experience (emotional), scientific critique (analytical), and product skepticism (consumer). Tumblr adds long-form content. Wikipedia pageviews confirm sustained public interest. This is a validated, multi-angle trend.

`crypto_masculine_worth` (Cross-vertical — also appears in Bumble companion)

Top signal: "The young men most invested in crypto and meme stocks reflect a bid to reclaim masculine worth" (Bluesky, engagement=11) — this is the core cultural signal, though it sits below stock market chatter in raw engagement.

AG1 V3 Trend ReportData Companion