Analytics

Weekly strategy surface for deciding where attention should go next.

Active LensAll Platforms

Executive Summary

Weekly Attention Briefing

X is strongest relative to the current system, but X remains weak in absolute terms. YouTube is the clearest upside repair lane.

WorkingX
SlippingSubstack
LensAll Platforms

Absolute output normalized against the benchmark set. This is the truth-first read, not a blended score.

11.2%

Weak

Relative performance is a normalized ratio. Higher means the lane is converting the comparison set more efficiently.

17.9%

Current lane performance versus the active comparison set.

Opportunity is a normalized ratio. Use it to compare upside between lanes without mixing in raw volume.

62.0%

Normalized upside signal for the active lane.

Competitor gap describes the lane's relationship to benchmark peers. It is a directional label, not a count.

Sparse

Where this lane sits against the closest benchmark.

Confidence combines sample size and benchmark availability. More posts and a live benchmark context increase trust in the lane read.

Developing

Some signal exists, but the sample is still thin.

Command Stack

global
  1. 1

    Use X only for controlled tests

  2. 2

    Fix YouTube first

  3. 3

    Stop investing in Substack for now

Content Priorities This Week

What to make next based on the strongest current signals and credible upside.

1

X

Keep X as the primary publish lane; it still has the strongest current performance.

2

Youtube

Use reaction-led tests on YouTube; the weekly summary still marks proof as a dead zone here.

3

Instagram

Repackage only the strongest hooks into Instagram until the proof dead zone clears.

Engagement Priorities This Week

Where to spend replies, follow-ups, and relationship energy without spraying effort everywhere.

1

X

Prioritize replies and follow-ups on X accounts with repeat interactions: ziwenxu_, alexabelonix.

2

Instagram

Keep warming the repeat Instagram names: tryclawhost.

3

Youtube

Do not spend engagement time on proof-first YouTube posts; convert comments only when there is already signal.

Current Week Strategic Plan

Thrawn's current content operating window

Treat W14 as an execution outage, not a content verdict: restore daily morning YouTube/TikTok/Instagram cadence with proof-first, tutorial-grade control-plane content and use X only for four conviction hooks.

Week
2026-W15
Bottom Line

keep the control-plane thesis, make it more concrete, ship it reliably, and let W15 finally produce usable format data.

Weekly Flight Path

The exact content plan Thrawn wants Cassian to execute this week.

Saturday · Apr 4 · morning
Local models are not the moat. Trusted runtimes are.
Youtube
hot takeslideshow08:30 CTTier 3
TikTokInstagramX
Sunday · Apr 5 · morning
The markdown vault that keeps an agent useful after the demo.
Youtube
proofscreen demo09:00 CTTier 2
TikTokInstagram
Monday · Apr 6 · morning
The next AI war is not model vs model. It's runtime vs trust.
Youtube
hot takeslideshow08:30 CTTier 3
TikTokInstagramX
Tuesday · Apr 7 · morning
The approval gate we use before any agent touches production.
Youtube
proofscreen demo09:00 CTTier 2
TikTokInstagram
Wednesday · Apr 8 · morning
Most agent demos die at 3 AM. This is the recovery loop.
Youtube
proofheygen hybrid08:30 CTTier 1
TikTokInstagramX
Thursday · Apr 9 · morning
Agent content only works when the agent actually does a job.
Youtube
reactionslideshow09:00 CTTier 3
TikTokInstagram
Friday · Apr 10 · morning
Gemma 4 made local AI mainstream. The moat moved to operations.
Youtube
news relayslideshow08:30 CTTier 3
TikTokInstagramX

Platform Order

Youtube#1
TikTok#2
Instagram#3
X#4
Experiments
Artifact-first hook vs binary-claim hook
72h views, comments per 1,000 views, and watch-through on paired proof/hot_take slots
08:30 CT vs 09:00 CT morning slots
48h average views per post across YouTube/TikTok/Instagram mirrors
Keyword CTA (comment CONTROL) vs plain Substack CTA
comments per 1,000 views plus follower conversion
Anchor Article
Runtime Wars: Why Trust Beats Model IQ in 2026
Wednesday

Gemma 4 pushed local-model discourse into the mainstream, Claude-limit frustration kept the trust lane alive, and the current plan window exposed how little value a great thesis has when the delivery system is unreliable. One article is warranted because Substack is flat at 11 subscribers and needs a stronger lead magnet.

Evidence

Supporting signal for All Platforms. This is the proof layer under the weekly recommendations.

Signal Window7d / 1 posts

Lane Comparison

Compact comparison of lane volume, absolute results, relative performance, and competitor gap.

Active LensAll Platforms
LanePostsAbsRelGap
All Platforms3011.2%17.9%Sparse
Youtube100.5%0.0%Near Benchmark
TikTok00.0%0.0%Sparse
X329.6%58.0%Sparse
Instagram71.9%0.0%Ahead
Substack30.0%0.0%Sparse

Per-Lens Drilldown

Required truth panel for the active lens, with the metrics that actually change decisions.

Posts30

Posts Tracked

30

Best available exposure proxy for the active lane, normalized into a raw count.

Average engagement rate from the active lens' current top posts.

6.7%

The platform baseline engagement rate used as the directional comparison point.

0.4%

The truth-first normalized result after removing blended scoring.

11.2%

The normalized performance ratio for the active lane.

17.9%

The normalized upside signal for the active lane.

62.0%

Overall Priority

#0.244

Directional relationship to the nearest benchmark lane.

Sparse

A sample-size and benchmark-availability read for how much trust to place in the lane.

Developing

Top Posts

Best performers by Interaction density relative to views or impressions. Higher means the post earned stronger response per unit of attention. in the current lens.

X · unknown48.8%

unknown

highER 6.7%reach=1.00, engagement=1.00, conversion=0.00, discussion=0.00, confidence=high

Dead Zones

Formats that are drawing attention without meaningful response.

Youtube · hot_take

2/2 posts had zero reply/comment signal and avg engagement rate was 0.0000

Instagram · proof

5/5 posts had zero reply/comment signal and avg engagement rate was 0.0000

Youtube · proof

3/3 posts had zero reply/comment signal and avg engagement rate was 0.0000

TikTok · proof

4/4 posts had zero reply/comment signal and avg engagement rate was 0.0000

Relationship Signals

Names already showing repeat behavior. A A repeated interaction pattern from the same account. Stronger signals indicate warmer prospects for replies and follow-ups. is usually a better use of time than cold outreach.

ziwenxu_17 interactions
XLast action like
alexabelonix4 interactions
XLast action reply
0xnoLE3 interactions
XLast action follow
colinarms2 interactions
XLast action reply
tryclawhost2 interactions
InstagramLast action reply

Feedback Drilldown

instagram

0.004

tiktok

0.025

x

0.111

youtube

0.004

Testing

reaction

Avoid

viral_ride, proof, hot_take, unknown

Best Types

reaction, hot_take, viral_ride

Double Down

None

Platform Health

All

unknown

Baseline ER

Posts 7d

Youtube

active

Baseline ER 0.4%

Posts 7d 10

TikTok

active

Baseline ER 2.5%

Posts 7d 7

X

active

Baseline ER 11.1%

Posts 7d 5

Instagram

active

Baseline ER 0.4%

Posts 7d 7

Substack

no_data

Baseline ER 0.0%

Posts 7d 0