Clarift.io
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Customer intelligence infrastructure

One decision
from real user signal.

Clarift reads cross-source feedback, detects what kind of signal it is, and shows whether it deserves action, monitoring, or no product work.

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Cross-source signal extraction: Reddit, G2, App Store, Zendesk
Pattern memory that compounds across every analysis you run
Action only when the evidence supports it — no forced roadmap advice

Live signal feed

system preview
Source·Detect

Classify Reddit, G2, App Store, Zendesk, churn, feature requests

Input-aware · No template applied

LOW
Intent·Gate

Separate product friction from debate, praise, memes, and noise

Context-first · Actionability checked

MEDIUM
Signal·Extract

Keep only grounded patterns and verbatim evidence

Evidence-first · Noise removed

HIGH
Action·Operate

Track, compare, assign, export, watch, or mark resolved

Post-analysis · Workflow continues

MEDIUM

Pattern detected: Clarift does not invent product work. If the input is opinion-only, the system marks it as monitoring, not a roadmap item.

Detect

Source + discussion intent

Gate

Actionability before advice

Memory

Patterns compound over time

Act

Operational modules after analysis

Intelligence pipeline

From raw signal to executable decision

1.

Ingest

Any source

2.

Detect

Type + intent

3.

Extract

Signals only

4.

Score

Actionability

5.

Output

Adaptive format

6.

Act

Track + compare

Signal memory

Intelligence that compounds over time

Every analysis feeds the pattern memory. Clarift tracks signal recurrence, worsening trends, and cross-source confirmation — building a continuously improving picture of what matters.

Recurring signal detection — 2nd and 3rd occurrence flagged automatically
Cross-source confirmation — same signal across Reddit + G2 raises weight
Trend evolution tracking — stable → worsening → critical

Source-aware memory

System

Patterns are stored with source and intent, so a support failure does not look like a Reddit debate.

Confidence movement

System

Signals can stay weak, become recurring, or turn actionable as evidence accumulates.

Resolution history

System

Resolved issues remain in memory so future repeats are detected instead of rediscovered.

Correlation appears only after real analyses exist

The dashboard uses stored customer intelligence. The homepage only shows the system shape.

Operating modules

The homepage already behaves like the product

Track Pattern

Watch recurring friction across every future analysis.

Compare Signals

Separate one-off noise from cross-source confirmation.

Create Experiment

Turn strong signals into one measurable product bet.

Confidence Timeline

See weak → recurring → strong movement over time.

Export Brief

Share source-aware evidence without a static AI report.

Assign Owner

Route intelligence to the team that can resolve it.