The platform

One signal layer.
Four working surfaces.

TasteRadar is not just a dashboard with data behind it. It is a continuously-learning index — built across six signal source types, calibrated per market and language, and surfaced through four purpose-built working surfaces.

How the index works

Ingest, interpret, surface.

Three stages, end to end. The same architecture every signal traverses, from raw ingestion to board-ready briefing.

01
Ingest

Native, multimodal.

TasteRadar continuously ingests signals from social platforms, restaurant and delivery menus, visual content, consumer reviews, cultural publications, and competitive launches — in native languages across APAC and MENA markets. No translation layer. No Western-market defaults.

02
Interpret

Layered, in context.

Raw signals pass through layered interpretation that weights, cross-references, and contextualises. A spike in social mentions means nothing without menu adoption to validate it. TasteRadar reads signals together — the intersection is where intelligence lives.

03
Surface

Surfaced for decisions.

Interpreted intelligence is delivered through four working surfaces: Flavor Map for category positioning, Live Feed for real-time monitoring, Watchlists for threshold-based tracking, and Reports for board-ready briefings. Every insight ships with its source trail.

The platform

One signal layer. Four working surfaces.

Surface I

Position every flavor against velocity and stage of adoption.

Each bubble is sized by indexed signal volume and placed by velocity and maturity. Hover to inspect; click to drill into the underlying clips, menu listings, and reviews.

  • Filter by region, channel, demographic, and occasion
  • Toggle 7d / 30d / 90d / 1y velocity windows
  • Compare cohorts across markets and pin to watchlist
Request access to flavor map
Flavor map · Southeast Asia · 30d
7d30d90d1y
EMERGINGESTABLISHEDLOW VELOCITYHIGH VELOCITYTepacheGochujangYuzuCalamansiAji AmarilloTamarindPandanBlack LimeHojichaSumac
What we read

Six source types. One indexed surface.

Most intelligence tools read one or two sources and call it complete. TasteRadar reads six — simultaneously, in context, without flattening.

01

Social Conversation

Public signals from the platforms where food culture is created and shared — captured in native languages, not translated from English.

Ingested · live● indexing
02

Menu Intelligence

Restaurant, delivery, and QSR menus across tracked markets — confirming when social momentum translates into commercial adoption.

Ingested · live● indexing
03

Visual Content

Image and video signals from platforms where food discovery happens visually. What people photograph reveals preferences text cannot capture.

Ingested · live● indexing
04

Consumer Reviews

What consumers actually say when describing their experience — not what they say when asked in a survey.

Ingested · live● indexing
05

Cultural Context

Festivals, seasonal shifts, regional traditions, and cultural moments that explain why certain flavors gain momentum at specific times in specific markets.

Ingested · live● indexing
06

Category & Competitive

Product launches, reformulations, and portfolio moves across the competitive landscape — so you see what competitors are doing alongside what consumers want.

Ingested · live● indexing
Transparent by principle

Every insight traces back to a signal.

When TasteRadar surfaces an insight — “Yuzu × Chili is a high-opportunity whitespace combination in the Thai market” — your team can drill into the underlying signals: which platforms, which menus, which review patterns, which cultural moments contributed to that score.

No black boxes. Every recommendation your team makes is defensible.

Source trail4 signals · 0.79 score
Yuzu × Chili · Thai whitespaceINSIGHT
TKT@yuzubangkok · 1.4M views0.92
WNGSukhumvit · menu listing0.78
GM18 reviews · 4.6★0.71
CULSongkran cultural moment0.74
Get to work

Still skeptical? Good.

We’d rather you challenge our methodology and sign up when you’re confident — than move fast on a platform you don’t fully understand. Request access and put the platform to work on your actual use case.

Request Access