Serro
Monthly Performance Report
May 1 to May 31, 2026
LinkedIn · Jake Kim

At a glance

Impressions
38.9K
across 7 posts
Engagements
331
likes, comments, shares, saves, sends
New Followers
+133
▲ 3.0% · 4,364 to 4,497
Posts Shipped
7
≈ 1.6 posts/week
Saves
22
high-intent signal
The month the on-brand engine showed up

Where April's reach came from one off-topic meme, May's came from substance. Two ex-Apple thought-leadership posts (how Apple measures productivity, what makes exceptional engineers) drove 70% of the month's impressions and 73% of its saves, with no novelty post propping up the numbers. Follower growth more than doubled April's (+133 vs +67) on fewer posts. This is the pattern to scale.

Performance overview

Follower growth

+133 net followers, a 3.0% gain. Two clear steps: May 15 to 16 (after the productivity post) and the final week (after "exceptional engineers").

Posts by impressions

Two ex-Apple thought-leadership posts (14.1K and 13.1K) carried the month. Reach was concentrated but, unlike April, in on-brand content.

Top performing posts

What broke through this month

Each list ranks by a different signal: impressions for reach, saves for "I want to come back to this" intent, and engagement rate for resonance on smaller-reach posts. This month the same two posts top both reach and saves, which is the sign of content that is working on every axis at once.

🏆 By impressions (reach)

Who got seen the most.

1
What makes exceptional engineers
FrameworkText · May 27
14.1Kimpressions
2
How Apple measures productivity
FrameworkText · May 12
13.1Kimpressions
3
Apple didn't miss the AI wave
Hot takeText · May 13
6.7Kimpressions
4
Welcome Chris Brady
Product/companyImage · May 7
2.6Kimpressions
5
1.1Kimpressions

💾 By saves (high intent)

The strongest B2B signal. Readers bookmarking to revisit.

1
What makes exceptional engineers
FrameworkText · May 27
9saves
2
How Apple measures productivity
FrameworkText · May 12
7saves
3
Apple didn't miss the AI wave
Hot takeText · May 13
3saves
4
3saves
5
Welcome Chris Brady
Product/companyImage · May 7
0saves

⚡ By engagement rate

Smaller-reach posts that overperformed for their audience.

1
Welcome Chris Brady
Product/companyImage · May 7
3.3%eng. rate
2
2.4%eng. rate
3
What our integrations actually do
Product/companyImage · May 11
1.2%eng. rate
4
Optimistic startup news (reshare)
CommunityQuote · May 26
0.9%eng. rate
5
Apple didn't miss the AI wave
Hot takeText · May 13
0.7%eng. rate

Format analysis

Format mix this month

Long-form text did the heavy lifting. The two biggest posts of the month were both plain text.

Average impressions by format

Text averaged 8.7K, about 5x image. For this account, the argument is the asset, and text is where the argument lives.

Content pattern analysis

What we posted, and what each pattern returned

We read each of the 7 posts and classified them by the job the post was doing. Four patterns appeared. The story is simple this month: frameworks and hot takes built on Jake's Apple experience did almost all the work.

Avg impressions per pattern

Frameworks averaged 13.6K, more than 3x any other pattern. This is the clearest signal in either month.

Total saves per pattern

Frameworks drove 16 of the month's 22 saves. They are both the reach engine and the intent engine.

Pattern breakdown

Four content patterns observed across 7 published posts.

Pattern Posts Total imp. Avg imp./post Total saves Top performer
Frameworks 2 27,174 13,587 16 Exceptional engineers (14.1K imp)
Hot takes vs incumbents 2 7,746 3,873 6 Apple didn't miss the AI wave (6.7K imp)
Product/company updates 2 3,459 1,730 0 Welcome Chris Brady (2.6K imp)
Off-topic / community share 1 532 532 0 Optimistic news reshare
📌 Frameworks are the franchise

Two framework posts averaged 13.6K impressions and drove 16 of 22 saves. Both leaned on Jake's "5 years at Apple" vantage to explain how elite orgs actually operate (measuring engineering in dollars; what separates lead engineers). This is the highest-leverage content the account produces. It should be the default, not the occasional.

📌 Hot takes extend the same credibility

The two hot takes (Apple didn't miss the AI wave; RAG is dead and context graphs aren't enough) pulled 7.7K and 6 saves. The RAG post is the one that ties most directly to what Serro builds (temporal knowledge graphs), and it earned the highest engagement rate of any thought-leadership post. More of these: contrarian takes that lead naturally into Serro's wedge.

📌 Product posts need a story or a thesis attached

The two product posts split sharply: the Chris Brady hire (a human story, 2.6K, 3.3% engagement) clearly outperformed the integrations post (a feature list, 816 impressions, 0 saves). When the product update is wrapped in narrative or argument it travels. When it is a list of connectors it does not.

Hook analysis

What the top hooks have in common

The first sentence decides reach on LinkedIn. May's top posts share a clear recipe, and it is highly repeatable for this account: the Apple credential, a hard number, and a perception-flip.

1
The Apple credential, stated plainly

"I've spent 5 years at Apple working with a lot of exceptional engineers", "as someone who's spent 5 years at Apple watching how decisions actually got made". Jake's insider vantage is the account's single most valuable hook asset. Lead with it.

2
A hard number in the first two sentences

"Apple is a 50 year old company, but consistently generates ~$2.5M in revenue per employee", "We've been building them for 2 years". Specific numbers earn instant credibility and stop the scroll. Both top posts open with one.

3
A perception-flip or myth to puncture

"People assume it's the luxury margins. It's not.", "There's a public perception that Apple always moves slow... 'slow' isn't what was happening.", "Most people know RAG is dead." Each hook names a common belief and promises to overturn it.

4
An explicit promise of payoff

"Here's why:", "It was this one trait:", "Most of it traces back to how Apple measures engineering work." The strongest openers tell the reader the explainer is coming, which buys dwell time.

5
A through-line to Serro's wedge

The RAG post earned the highest engagement rate because the hook ("context graphs aren't enough") leads straight into what Serro builds (temporal infrastructure). The best posts are not Apple nostalgia for its own sake; they use the credential to set up a point that maps to Serro's thesis.

What didn't work

Bottom performers and why

The two lowest-reach posts were the quote reshare and the integrations feature list. Both share a root cause: no argument and no number for the reader to grab onto.

7 of 7
Optimistic startup news (reshare)
532 impressions · 0 saves · May 26
Hypothesis: bare reshare, no original take

"optimistic news in the startup world!" is a one-line caption on someone else's post. Same failure mode as April's LaserData reshares: no hook, no number, nothing to save. These consistently land at the bottom of the table. Retire them or replace with an original post that makes a point.

6 of 7
What our integrations actually do
816 impressions · 0 saves · May 11
Hypothesis: feature list without a thesis on top

The post has a genuinely strong idea buried in it (integrations are table stakes; what matters is the shared real-time context built on top). But the hook gives way quickly to a list of connectors (GitHub, Zoom, Slack, Jira), and the reader checks out before the payoff. The same content reframed as a thesis ("most integrations are just wiring, here's what we do instead") would likely have traveled like the hot takes did.

🛑 Failure modes to avoid in June

1. Bare quote-reshares with a one-line caption (bottom of the table in both April and May).
2. Product posts written as feature lists rather than arguments.
3. Letting volume drop too low: 7 posts is light, and the two Apple posts landed one day apart (May 12 and 13), which risks splitting attention on the same theme.

What to do next month

Playbook for June

Five moves, each grounded in May's data.

1
Make ex-Apple frameworks the franchise: aim for 4 in June

The two framework posts drove 70% of May's reach and 73% of its saves. This is the account's highest-leverage content by a wide margin. Build a repeatable series: how elite orgs measure impact, hire, make decisions, and where AI changes each. Open every one with the Apple credential and a hard number.

Evidence: 2 frameworks = 27.2K impressions (avg 13.6K) and 16 of 22 saves.
2
Run contrarian hot takes that lead into Serro's wedge

The RAG-vs-temporal post earned the highest engagement rate of any thought-leadership piece because the take ("context graphs aren't enough") routes directly into what Serro builds. Aim for 2 per week, each ending on the Serro thesis: real-time, temporal context is the compounding advantage.

Evidence: 2 hot takes = 7.7K impressions and 6 saves; the RAG post hit 2.4% engagement.
3
Reframe product updates as arguments, not feature lists

The integrations post had a strong thesis (integrations are table stakes; shared real-time context is the product) but buried it under a connector list and stalled at 816 impressions. The hire post, told as a human story, hit 2.6K. Lead product posts with the point, support it with the feature, and the reach follows.

Evidence: Chris Brady hire (story) = 2.6K, 3.3% engagement vs integrations (list) = 816, 0 saves.
4
Lift cadence and space same-theme posts

Seven posts is light, and the two Apple posts ran a day apart (May 12 and 13). Push toward 3 to 4 posts per week to compound follower growth, and keep posts on the same theme at least 3 days apart so they do not compete for the same audience in the feed.

Evidence: +133 followers came from 7 posts; more on-brand volume should compound the gain.
5
Enable lead scraping to unlock the ICP read

These reports can measure reach and saves, but cannot yet tell you whether the engineering leaders engaging are the right ones, because lead scraping is off for this profile. Turning it on in Ordinal adds the ICP-fit metric and a named senior-engager list for sales. It is the highest-value upgrade for the June report.

Evidence: no lead-level audience data was available for April or May.