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Home / Themes / Tech Trends '25: Data Network Effects

Theme thesis · 5/5 sections · Tickers 12 with notes · 4 pending

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Bull / Bear Details has the investment thesis and bull/bear points. Overview is monitoring guidance (hiring, forums, second-order trends, search keywords, Google Trends, datasets).

Bull / Bear Details

Digital platforms can develop self-reinforcing competitive advantages when greater participation, transaction activity, and proprietary data accumulation improv

Thesis

Digital platforms can develop self-reinforcing competitive advantages when greater participation, transaction activity, and proprietary data accumulation improve the value of their products and services. Expanding networks generate more interactions and outcome information, enabling better matching, recommendations, fraud detection, benchmarking, underwriting, and workflow optimization. As these improvements attract additional users and customers, leading businesses may strengthen retention, competitive differentiation, and monetization. Companies with unique datasets, effective learning systems, and embedded customer ecosystems can benefit from compounding product utility, although data portability, privacy regulation, competitive platforms, and diminishing returns to additional data threaten these advantages.

Bull case

Accumulating Proprietary Data Improves Product Performance: Growing transaction volumes, user interactions, and observed outcomes create opportunities to improve recommendations, matching algorithms, fraud detection, underwriting, benchmarking, and automated decisions, strengthening product utility and customer retention.
Network Participation Creates Self-Reinforcing Adoption: Additional users, merchants, suppliers, developers, or other ecosystem participants can improve network liquidity, information coverage, service availability, and overall usefulness, attracting further adoption and reinforcing competitive advantages.
AI and Advanced Analytics Increase the Value of Existing Data: Improved machine learning, predictive analytics, and intelligent applications can help platforms extract greater economic value from accumulated proprietary information, supporting differentiation, cross-selling, and higher-value services.

Bear case

Data Portability and Regulatory Restrictions Weaken Competitive Advantages: Privacy requirements, data sharing mandates, interoperability rules, and restrictions on cross-customer data usage can reduce exclusivity or constrain the ability of platforms to use information for product improvements.
Diminishing Data Returns and AI Commoditization Threaten Moats: Additional data may provide progressively smaller improvements, while open models, synthetic data, alternative information sources, and improved algorithms can narrow the performance advantages of established platforms.
Competition and Network Fragmentation Disrupt Feedback Loops: Entrants with superior products, changes in user behavior, multi-homing, platform disintermediation, and declining participation can weaken network effects and reduce the benefits of accumulated data.

Overview

Hiring Trend Watchpoints

Operators are shifting talent mix from generalist software engineering and base foundation model training toward domain data pipeline optimization, agentic workflow architecture, and closed-loop reinforcement learning. Postings for 'Agentic Systems Engineer', 'Real-Time Inference Optimization', and 'Vertical AI Product Manager' are expanding rapidly across leaders like Visa, Toast, Intuit, and AppLovin. Simultaneously, headcount in routine back-office operations, basic credit review, and Tier-1 customer support is flattening or actively contracting as autonomous agents execute tasks directly. To confirm theme execution, monitor rising revenue and gross profit per employee alongside surging postings in specialized data platform engineering. Deterioration warnings include sudden hiring freezes in core data infrastructure teams or renewed headcount bloat in routine operational and customer support roles, indicating that automated data flywheels are failing to deliver operating leverage.

Forum Watchlist

Reddit Community — r/MachineLearningHigh
Proprietary data scaling limits, vertical model fine-tuning vs foundational parity, synthetic data efficacy
Reddit Community — r/AIAgentsHigh
Autonomous agent API integrations, vertical workflow automation reliability, tool-use execution failures
Reddit Community — r/adopsMedium
Walled-garden data performance, AppLovin Axon engine conversion rates, in-app bidding dynamics
Online Community — Hacker NewsHigh
Proprietary software lock-in, data portability debates, open-source model replication of domain features
Reddit Community — r/fintechMedium
Merchant adoption of embedded POS tools, agentic payment protocol testing, alternative credit underwriting

Industry Publications

The Information (theinformation.com) — In-depth reporting on enterprise AI agent monetization, platform data exclusivity, and competitive software dynamics.
SemiAnalysis (semianalysis.com) — Technical research on AI inference unit economics, compute optimization, and system-level efficiencies for data platforms.
Finextra (finextra.com) — Sector coverage of global payment networks, agentic commerce standards, fraud prevention, and transaction intelligence.
Digiday (digiday.com) — Analysis of performance marketing algorithms, first-party data flywheels, and programmatic ad network disruption.
Restaurant Business Online (restaurantbusinessonline.com) — Granular tracking of restaurant technology ecosystems, POS integration depth, and SMB automated workflow adoption.

Second Order Trends

1) Autonomous Done-For-You Execution: Platforms are evolving beyond assistive copilots to autonomous agents executing multi-step business actions end-to-end (e.g., Toast IQ Grow automating restaurant marketing, Intuit automating bookkeeping reconciliation and tax filings). 2) Agentic Commerce Settlement Protocols: Payment networks (Visa, Mastercard) are deploying machine-to-machine transaction standards (Mastercard Agent Pay for Machines, Visa CLI) to tokenize, authenticate, and settle agent-initiated purchases. 3) Ad Monetization via First-Party Decision Engines: Proprietary transaction footprints are powering in-house ad systems (AppLovin Axon, Mercado Ads, Pinterest Performance+) that consistently out-convert open-web programmatic advertising. 4) Regulatory Push for Data Interoperability: Policy shifts (CFPB Rule 1033 open-banking rules, European DMA portability mandates, GSE dual-score credit evaluations) are challenging exclusive data moats, forcing platforms to bind data moats tightly to operational software workflows. 5) Edge Data and Physical Workflow Convergence: Moats are increasingly defended by combining proprietary software logs with physical operational infrastructure (Toast terminals, Axon body cameras, CoStar field inspection data) to prevent synthetic data replication.

Search Keywords Brand Product

Toast POS
Toast IQ Grow
QuickBooks Online
TurboTax Live
Credit Karma
Mercado Pago
Shopee
AppLovin Axon
Pinterest Performance+
FICO Platform
FICO Score 10T
VisaNet
Visa Direct
Mastercard Move
Mastercard Agent Pay
Homes.com
Apartments.com
Axon Evidence
Veeva Vault
Duolingo Max
data network effects
data flywheel effect
proprietary data moat
agentic AI platform
AI workflow automation
closed-loop data
performance advertising algorithms
autonomous enterprise workflows
data-driven underwriting

Search Keywords Policy Regulatory

CFPB Rule 1033
EU AI Act compliance
data portability mandates
open banking regulations
interchange fee caps
algorithmic discrimination rules
antitrust data sharing

Search Keywords Event Phrases

Money20/20 USA
OpenAI DevDay
AWS re:Invent
Gartner IT Symposium
FICO World
Intuit Investor Day

Google Trend Product Category Intent

• AI agent software • AI workflow automation • AI accounting software • restaurant POS system • performance advertising platform • enterprise decisioning software

Google Trend Consumer Intent

• best AI budgeting app • automated bookkeeping small business • check credit score free • learn language with AI • sell online Latin America • order food delivery app

Google Trend Macro Policy Terms

• open banking data rights • AI data privacy regulation • credit scoring competition • interchange fee cap • AI replacing jobs

Economic Data Watch

1. Gartner, Inc. — Forecast: AI Spending, Worldwide

Matchedgartner_it_spending_market_forecasts · access=file · map_only

Metric/field Global AI Software and Services Spending (USD Billions)

Cadence annually

Why it matters Sustained high growth in spending indicates increasing enterprise investment in AI applications and solutions, validating the theme's focus on monetization and value creation beyond foundational infrastructure.

Signal to watch Sustained or accelerating year-over-year growth

Confidence: medium

2. Epoch AI — Compute Trends Report

Not in registry

Metric/field Average Cost of AI Inference (per million tokens for equivalent GPT-4 level performance)

Cadence annually

Why it matters A continued rapid decline in inference costs indicates improving unit economics for AI applications, fostering broader adoption and enabling more complex and cost-effective AI solutions.

Signal to watch Continued rapid decline in cost

Confidence: medium

3. FRED — Retail Sales: Advance Monthly Sales for Retail and Food Services

Matchedfred · access=api · map_only

Metric/field RSAFS

Cadence monthly

Why it matters Reflects overall consumer spending, which directly impacts transaction volumes for payment networks (V, MA), e-commerce platforms (MELI, SE, PINS), and restaurant technology (TOST).

Signal to watch Sustained or accelerating year-over-year growth

Confidence: high

4. FRED — Private Nonresidential Fixed Investment: Equipment and Software

Matchedfred · access=api · map_only

Metric/field PNFIC1

Cadence monthly

Why it matters Indicates business investment in technology, including software and AI solutions, which is crucial for the adoption and scaling of agentic AI applications by enterprises (INTU, VEEV, CSGP, AXON, TRMB).

Signal to watch Increasing year-over-year growth

Confidence: high

5. Trading Economics — Brazil Retail Sales

Not in registryaccess=scrape

Metric/field Brazil Retail Sales Annual

Cadence monthly

Why it matters MercadoLibre (MELI) and Sea Limited (SE) have significant e-commerce operations in Brazil. Retail sales growth in this key market directly impacts their Gross Merchandise Volume (GMV) and transaction activity.

Signal to watch Sustained or accelerating year-over-year growth

Confidence: high

Free Alt Data Watch

1. Google Trends — Web Search Interest

Not in registry

Metric/field Interest over time for the search term 'AI agent software' (Worldwide)

Cadence daily

Why it matters Reflects general public and enterprise interest in the core technology of the theme, indicating potential for broader market adoption and awareness of agentic AI solutions.

Signal to watch Increasing trend suggests growing market awareness and adoption

Confidence: medium

2. Reddit Community — r/AIAgents

Not in registry

Metric/field Subscriber count and post volume

Cadence daily

Why it matters Provides insights into discussions, developments, and real-world failure modes of multi-agent architectures and autonomous enterprise workflow deployments, which are central to the theme.

Signal to watch Increasing subscriber count and active discussion volume indicate growing interest and development

Confidence: medium

3. Apple App Store / Google Play Store — App Rankings

Not in registry

Metric/field Duolingo app rank in 'Education' category (US, China, Global)

Cadence daily

Why it matters Indicates Duolingo's (DUOL) visibility and popularity within its core market segments and geographies, directly correlating with top-of-funnel user acquisition and engagement.

Signal to watch Higher or improving rank suggests stronger user acquisition and platform stickiness

Confidence: high

4. GitHub — Open-source AI Model Repositories

Not in registry

Metric/field Stars, forks, and commit activity for leading open-source LLM projects (e.g., Llama, Mistral)

Cadence daily

Why it matters Increased activity in open-source AI models signals commoditization of foundational AI, which drives value to platform companies leveraging these models for application-layer monetization.

Signal to watch Accelerating stars, forks, and commits indicate rapid development and adoption of open-source models

Confidence: medium

5. Company Careers Pages — Job Postings

Matched (medium)engine_advertising_brand_tracking · access=file · map_only

Metric/field Number of job postings for 'Agentic Systems Engineer' or 'AI Product Manager' roles at theme constituents (e.g., Intuit, Toast)

Cadence weekly

Why it matters Reflects internal investment and strategic focus on developing and deploying agentic AI applications, aligning with the theme's emphasis on specialized AI talent.

Signal to watch Increasing number of such job postings indicates accelerated investment in agentic AI capabilities

Confidence: medium

Paid Alt Data Watch

1. Sensor Tower — Mobile App Intelligence

Matched (medium)sensor_tower_mobile_advertising_intelligence · access=file · map_only

Metric/field Daily Active Users (DAUs) for Duolingo (Global)

Cadence daily

Why it matters Direct, granular measure of Duolingo's (DUOL) core strategic priority (DAU growth) and user engagement across its mobile application, indicating platform stickiness and the effectiveness of AI-driven personalization.

Signal to watch Sustained or accelerating DAU growth

Confidence: high

2. Similarweb — Web & App Traffic / Engagement

Matchedsimilarweb_website_traffic_engagement · access=file · map_only

Metric/field Mercado Libre App: Daily Active Users (DAU), Monthly Active Users (MAU), Average Session Duration (Brazil)

Cadence daily

Why it matters Directly tracks MercadoLibre's (MELI) core user growth and engagement metrics in its largest market, indicating platform stickiness and the effectiveness of its integrated ecosystem and AI-driven recommendations.

Signal to watch Sustained or accelerating DAU/MAU growth and increasing session duration

Confidence: high

3. Consumer Edge — Credit/Debit Card Transaction Data

Not in registry

Metric/field Visa Branded Card Spend (Year-over-Year growth)

Cadence weekly

Why it matters Provides granular, near real-time insights into actual consumer spending activity on Visa-branded cards, directly correlating with Visa's (V) payments volume and overall network activity.

Signal to watch Sustained positive or accelerating YoY growth

Confidence: high

4. Hatched Analytics — Card Transaction Data

Matched (medium)hatched_analytics_ticker_level_transaction_digital_kpi_feeds · access=file · map_only

Metric/field Year-over-year GPV per location for Toast-powered restaurants and retail locations

Cadence weekly

Why it matters Provides granular, real-time insights into the core drivers of Toast's (TOST) financial performance, reflecting the health of its merchant base and the impact of its platform on transaction volumes.

Signal to watch Sustained positive or accelerating YoY growth in GPV per location

Confidence: high

5. SpendHound — B2B SaaS and AI Procurement Intelligence

Matchedspendhound_b2b_saas_ai_vendor_spend · access=file · map_only

Metric/field Enterprise spend on AI agent software platforms (e.g., Intuit, Veeva, CoStar)

Cadence monthly

Why it matters Provides insights into actual enterprise adoption and spending on AI agent solutions, validating the theme's core thesis of application-layer AI monetization and the shift to autonomous workflows.

Signal to watch Increasing spend on AI agent software platforms

Confidence: medium

Prediction Market Watch

1. Will data center power-cost standards become law? (Before Jul 1, 2027)

Kalshi · Confidence: high

Not in registryaccess=api

Market https://kalshi.com/markets/kxratepayerlaw

Why it matters Data center power costs directly impact the cost of AI inference and compute, which is a fundamental economic driver for the theme. A law impacting these costs could significantly affect the unit economics for AI applications across theme constituents like AppLovin, Duolingo, and Pinterest, which rely heavily on AI compute.

Series key pm_data_center_power_cost_law

2. Duolingo daily active users in Q3 (daily active users in Q3 2026)

Kalshi · Confidence: high

Not in registryaccess=api

Market https://kalshi.com/markets/kxduol

Why it matters Duolingo's daily active users (DAUs) are a core metric for its user growth strategy and directly contribute to its data network effects, which are central to the theme's thesis. Strong DAU growth validates the theme's focus on platforms leveraging user interaction data for product improvement and monetization.

Series key pm_duol_q3_dau

3. When will OpenAI release a personal AI agent? (Product feature rollout)

Kalshi · Confidence: high

Not in registryaccess=api

Market https://kalshi.com/markets/kxoaipersonalagent

Why it matters The theme emphasizes the transition from copilots to autonomous 'done-for-you' agents. A release of a personal AI agent by a leading AI company like OpenAI could accelerate the broader adoption and development of agentic AI applications, impacting the product roadmaps and competitive landscape for theme constituents like Intuit and Toast that are building agentic features.

Series key pm_openai_personal_ai_agent_release

Theme Plain English: This theme captures digital platforms whose competitive advantages strengthen through self-reinforcing data feedback loops. As user, merchant, and transaction participation expands, these companies accumulate proprietary behavioral, operational, and financial data. This growing intelligence continuously refines recommendation algorithms, risk underwriting, fraud detection, and automated workflows, making products progressively more valuable. Because foundational AI models are rapidly commoditizing, platforms possessing exclusive, high-integrity transaction and engagement data hold the most defensible moats.

Key Metrics3 rows

Metric	Cadence	What It Signals	Update Source
Enterprise AI Agent Deployment Rate (% of organizations scaling agentic AI in at least one business function)	Annually	An increasing percentage indicates successful integration and scaling of autonomous AI systems, validating the theme's focus on agentic AI and its practical application to drive business value.	LLM_Approved
Global AI Software and Services Spending (USD Billions)	Annually	Sustained high growth in spending indicates increasing enterprise investment in AI applications and solutions, validating the theme's focus on monetization and value creation beyond foundational infrastructure.	LLM_Approved
Average Cost of AI Inference (per million tokens for equivalent GPT-4 level performance)	Annually/Semi-annually	A continued rapid decline in inference costs indicates improving unit economics for AI applications, fostering broader adoption and enabling more complex and cost-effective AI solutions.	LLM_Approved

Upcoming Catalysts20 rows

Catalyst	Estimated Timing	Estimated Date Start	Estimated Date End	Why It Matters	Ticker Or Theme Specific	Source Types	Contributing Tickers	Mention Count	Base Score	Source Weight	Specificity Weight	Macro Bridge	Macro Bridge Multiplier	Theme Score	Date Aggregated	Manual Override	Bridge Mention Count	Theme Base Score	Theme Importance Score	Source Type	Catalyst Source	Catalyst ID	Transcript Date
Widespread enterprise and consumer adoption of agentic AI applications.	Ongoing, with key industry reports and surveys providing updates in the second half of 2026.	2026-07-01	2026-12-31	This catalyst directly validates the core 'Platform Data Flywheel' thesis by demonstrating the successful transition to Phase 2 AI, where agentic AI applications drive measurable productivity gains and revenue generation across various industries and consumer segments. It signals the market's readiness and ability to integrate autonomous AI systems, impacting all constituent tickers focused on leveraging proprietary data for AI monetization.	Theme	theme_composer	INTU, TTWO, NFLX, TCEHY, SE, CVNA, DUOL, MELI, ROK, TOST, ELV, UNH, COR, TOI, FICO, EFX, SPGI, MSCI, CSGP, SRAD, FIS, RELX, RRX, PH, LDOS, DDOG, NVDA, SMH, SPOT, APP	30	33.0922	1.18	0.92	Regulatory/Policy	1.35	4849.8543	2026-06-12	False	1	7.6784	1125.3191		Theme composer
AI governance and ethical AI policy developments.	Ongoing, with potential for new legislative proposals or industry standards throughout 2026.	2026-06-12	2026-12-31	As agentic AI systems become more integrated into critical workflows and consumer interactions, developments in AI governance and ethical AI policies are crucial. These could either establish clear frameworks that accelerate trust and responsible adoption or introduce new regulatory hurdles that impact deployment strategies and compliance costs for all companies leveraging AI.	Theme	theme_composer	INTU, NFLX, TCEHY, SE, CVNA, DUOL, MELI, TOST, ELV, UNH, COR, TOI, FICO, EFX, SPGI, MSCI, CSGP, SRAD, FIS, RELX, RRX, PH, LDOS, DDOG, TTWO, SPOT, APP	27	21.0756	1.18	0.92	Regulatory/Policy	1.35	3088.7622	2026-06-12	False	1	5.8018	850.292		Theme composer
Continued rapid decline in AI inference costs.	Ongoing, with new research and industry reports expected semi-annually/annually.	2026-07-01	2026-12-31	A sustained rapid decline in AI inference costs (estimated 30-40% annually) is a fundamental economic driver for the entire theme. It directly improves the unit economics for AI applications, fostering broader adoption, enabling more complex and cost-effective AI solutions, and expanding the addressable market for all companies building on AI platforms.	Theme	theme_composer	INTU, TTWO, NFLX, TCEHY, SE, CVNA, DUOL, MELI, ROK, TOST, ELV, UNH, COR, TOI, FICO, EFX, SPGI, MSCI, CSGP, SRAD, FIS, RELX, RRX, PH, LDOS, DDOG, NVDA, SMH, SPOT, APP	30	28.6799	1.18	0.92		1.0	3113.4867	2026-06-12	False	1	7.6784	833.5697		Theme composer
Finalization of the divestiture of noncore software assets in Australia.	by the end of 2026	2026-10-01	2026-12-31	This will allow management to focus on core residential and commercial objectives in Australia and is expected to improve overall profitability.	Ticker															earnings_transcript	CSGP (ticker)	CSGP_bf9e21ad	2026-07-28
Intuit's evolution of its TurboTax DIY business model to deliver the right lineups and price points for the most price-sensitive filers (earning less than $50,000) and monetize beyond tax.	as we look ahead	2026-10-01	2027-04-30	This strategic shift aims to reaccelerate growth in the DIY segment, which faced pressure due to price sensitivity, and leverage the broader Consumer platform for monetization, impacting overall consumer segment revenue and market share. Success would be bullish, while failure to gain traction could be bearish.	Ticker															earnings_transcript	INTU (ticker)	INTU_82bd1b23	2026-05-20
Introduction of a consumption-based model for Intuit's AI and human intelligence services.	We will also introduce a consumption-based model for our AI and human intelligence services	2026-08-01	2026-12-31	This new monetization model aims to enable customers to scale usage and unlock greater benefits, potentially driving new revenue streams and ARPU expansion, particularly among more complex customers. Successful adoption and revenue generation from this model would be bullish.	Ticker															earnings_transcript	INTU (ticker)	INTU_b5af7b9d	2026-05-20
Implementation of pricing actions at the higher end of Intuit's portfolio for businesses and accountants, reflecting increased value from expanded functionality.	As we evolve our lineup with expanded functionality, we expect to take pricing actions at the higher end of our portfolio	2026-08-01	2026-12-31	These pricing actions are expected to drive ARPU expansion and margin growth by monetizing the increased value delivered through the new platform capabilities. Successful implementation and customer acceptance would be bullish, while significant customer resistance could be bearish.	Ticker															earnings_transcript	INTU (ticker)	INTU_6385a20d	2026-05-20
Completion of the rollout of AI-powered video call functionality to all existing Super subscribers.	over the next few months	2026-09-05	2026-11-05	Expanding this key AI-driven feature to a broader paying user base is expected to enhance the value proposition of Super Duolingo, potentially improving subscriber retention and engagement.	Ticker															earnings_transcript	DUOL (ticker)	DUOL_41a0f741	2026-08-05
Continued experimentation and potential wider rollout of the 'Super Lite' ad-supported subscription tier.	over the next few months	2026-09-05	2026-11-05	This new, lower-priced tier aims to attract users who might not otherwise subscribe to Super, potentially expanding the paying user base and diversifying monetization.	Ticker															earnings_transcript	DUOL (ticker)	DUOL_a0e8f2ca	2026-08-05
Achievement of 25% or higher Daily Active User (DAU) growth year-over-year in Q4 2026, triggering a bonus payout to employees in Q1 2027.	Q4 DAU growth is 25% or higher	2026-10-01	2026-12-31	This milestone reflects management's internal target for user growth, which is the company's primary strategic focus, and could signal strong product momentum and future business expansion.	Ticker															earnings_transcript	DUOL (ticker)	DUOL_b98c1b6b	2026-08-05
Reacceleration of Daily Active User (DAU) growth beyond the 20% year-over-year guided for 2026, driven by product improvements in language teaching, free user experience, and new subjects.	late in the year (2026) for modest returns, more and more as we move into '27 and '28 for significant acceleration	2026-10-01	2027-12-31	Successful reacceleration is crucial for achieving the medium-term goal of 100 million DAUs by 2028, leading to significantly higher bookings and profit. Failure to reaccelerate could negatively impact long-term valuation and investor sentiment.	Ticker															earnings_transcript	DUOL (ticker)	DUOL_b8221c4f	2026-02-26
GSE certification for the FICO Mortgage Direct Licensing Program (DLP) to go live.	waiting on certification from one of the GSEs	2026-08-25	2026-10-31	This program allows lenders to realize cost savings through a performance model pricing, which FICO believes will be very beneficial and encourage more customer acquisition, making FICO more competitive.	Ticker															earnings_transcript	FICO (ticker)	FICO_fd0dde8b	2026-07-29
GSE acceptance and implementation of FICO Score 10T for conforming mortgage originations.	Q4 2026	2026-10-01	2026-12-31	FICO Score 10T is considered the most predictive score, and its widespread adoption in the conforming market is crucial for FICO's mortgage segment, solidifying its competitive advantage and potentially expanding credit access.	Ticker															earnings_transcript	FICO (ticker)	FICO_20217b82	2026-07-29
General availability and adoption of FICO Score 10T by Fannie Mae and Freddie Mac for the conforming mortgage market, following FHFA approval.	at a later date	2026-09-01	2027-04-24	This is a critical regulatory decision that could significantly impact FICO's Scores segment revenue and competitive landscape in the mortgage industry, as 10T offers improved predictive accuracy.	Ticker															earnings_transcript	FICO (ticker)	FICO_4b77c7bb	2026-01-28
FHFA and GSEs release definitive selling guidelines and Loan-Level Price Adjustment (LLPA) grids for both FICO Score 10T and VantageScore in the conforming mortgage market.	waiting on the selling guidelines	2026-07-01	2026-12-31	Crucial for market clarity and adoption. Bullish if grids are favorable to FICO 10T and mitigate gaming issues. Bearish if they create significant competitive disadvantages or introduce complexity that hinders FICO 10T adoption.	Theme															earnings_transcript	FICO (ticker)	FICO_a4fb5323	2026-04-28
The release and implementation of Loan-Level Price Adjustment (LLPA) grids by the FHFA for FICO Score 10T and VantageScore.	new pricing based on the updated models	2026-04-24	2027-04-24	The structure and timing of these grids will directly impact the competitive dynamics between FICO and VantageScore in the mortgage market, potentially affecting FICO's market share and revenue.	Theme															earnings_transcript	FICO (ticker)	FICO_52602fbf	2026-01-28
MercadoLibre plans to start using its Mercado Pago AI assistant for cross-selling credit offers and credit cards to users, moving beyond its current function of solving user queries.	something that we will start doing	2026-04-01	2026-12-31	This strategic action could significantly increase the adoption of Mercado Pago's credit products, driving higher revenue and engagement within the fintech ecosystem, but its effectiveness is yet to be proven.	Ticker															earnings_transcript	MELI (ticker)	MELI_11ac2bc9	2026-02-24
New TAMs (International, Enterprise, Retail) Total ARR Nears $200 Million	this year	2026-10-01	2026-12-31	Achieving this target demonstrates successful diversification and rapid scaling in new markets, validating Toast's growth strategy beyond its core restaurant business and signaling future revenue drivers.	Ticker															earnings_transcript	TOST (ticker)	TOST_278ddba2	2026-08-04
Launch of CRE loan origination workflow by CoStar Debt Solutions.	Q1 of '27	2027-01-01	2027-03-31	This full workflow solution will further integrate CoStar into the commercial lending process, offering significant value to financial institutions and potentially boosting subscription revenue.	Ticker															earnings_transcript	CSGP (ticker)	CSGP_db6727b5	2026-04-28
Launch of a simpler campaign creation flow for Pinterest Performance+ campaigns.	early next year	2027-01-01	2027-03-31	This aims to increase adoption of Performance+ among a broader range of advertisers, especially SMBs, by making campaign setup easier, which should drive further monetization.	Ticker															earnings_transcript	PINS (ticker)	PINS_9e076595	2026-08-04

NotesTable

Transcript Summary

Date	Type	Comment	Detail	Sentiment	Tickers
2026-06-12	theme_refresh	Constituents are actively demonstrating the 'Platform Data Flywheel' thesis, leveraging proprietary data for defensible moats and driving tangible ROI through agentic AI applications. Companies like Intuit, Carvana, and MercadoLibre show AI embedded in workflows, enhancing customer experience, and boosting monetization. While AI chip supply remains a constraint for some, the overall trend validates the shift to practical, revenue-generating AI.	Transcript Summary	Bullish	INTU, TTWO, NFLX, TCEHY, SE, CVNA, DUOL, MELI, ROK, TOST, PH, SPOT, APP

Constituents

CSGPT2
— CoStar Group, Inc.
INTUT2
— Intuit Inc.
MAT2
— Mastercard Incorporated
VT2
— Visa Inc.
APPT3
— AppLovin Corporation
DUOLT3
— Duolingo, Inc.
FICOT3
— Fair Isaac Corporation
MELIT3
— MercadoLibre, Inc.
PINST3
— Pinterest, Inc.
SET3
— Sea Limited
TOSTT3
— Toast, Inc.
UBERT3
— Uber Technologies, Inc.
AXONT3
· no notes yet
RDDTT3
· no notes yet
TRMBT3
· no notes yet
VEEVT3
· no notes yet

Tech Trends '25: Data Network Effects (open on stockthemes)

Thesis

Bull case

Bear case

Hiring Trend Watchpoints

Forum Watchlist

Industry Publications

Second Order Trends

Search Keywords Brand Product

Search Keywords Policy Regulatory

Search Keywords Event Phrases

Google Trend Product Category Intent

Google Trend Consumer Intent

Google Trend Macro Policy Terms

Economic Data Watch

1. Gartner, Inc. — Forecast: AI Spending, Worldwide

2. Epoch AI — Compute Trends Report

3. FRED — Retail Sales: Advance Monthly Sales for Retail and Food Services

4. FRED — Private Nonresidential Fixed Investment: Equipment and Software

5. Trading Economics — Brazil Retail Sales

Free Alt Data Watch

1. Google Trends — Web Search Interest

2. Reddit Community — r/AIAgents

3. Apple App Store / Google Play Store — App Rankings

4. GitHub — Open-source AI Model Repositories

5. Company Careers Pages — Job Postings

Paid Alt Data Watch

1. Sensor Tower — Mobile App Intelligence

2. Similarweb — Web & App Traffic / Engagement

3. Consumer Edge — Credit/Debit Card Transaction Data

4. Hatched Analytics — Card Transaction Data

5. SpendHound — B2B SaaS and AI Procurement Intelligence

Prediction Market Watch

1. Will data center power-cost standards become law? (Before Jul 1, 2027)

2. Duolingo daily active users in Q3 (daily active users in Q3 2026)

3. When will OpenAI release a personal AI agent? (Product feature rollout)

Constituents