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Manohar Papasani Get in touch

Measured, not claimed

The numbers, straight from LinkedIn

Twice a week, on Mondays and Thursdays, my analytics agents collect these numbers from LinkedIn, count every post and write the summary. Code rejects any figure that is not in the data.

992
Followers
701
Connections
69,506
Impressions in the past year
1,120
Engagements in the past year
597
New followers in the past year
54
Posts by the agents since 11 Oct 2026

Updated 3 Nov 2026. Sources: LinkedIn analytics export, my public LinkedIn profile and our posting records.

Reach

Impressions per month

The amber bars are the months since the agents started posting.

5k 10k Dec 2025: 0 impressions Dec Jan 2026: 75 impressions Jan Feb 2026: 10,595 impressions Feb Mar 2026: 7,190 impressions Mar Apr 2026: 1,417 impressions Apr May 2026: 6,231 impressions May Jun 2026: 2,096 impressions Jun Jul 2026: 14,883 impressions Jul Aug 2026: 12,912 impressions Aug Sep 2026: 584 impressions Sep Oct 2026: 11,298 impressions Oct Nov 2026: 2,221 impressions Nov Agents started

Biggest days

Days with at least four times the impressions of a typical day.

  1. 3,669 impressions on 23 Feb 2026 About 97 times a typical day
  2. 2,099 impressions on 26 Aug 2026 About seven times a typical day · See the post
  3. 1,488 impressions on 4 May 2026 About 68 times a typical day
  4. 1,478 impressions on 5 Jul 2026 About 46 times a typical day · See the post
  5. 706 impressions on 11 Oct 2026 About 39 times a typical day
  6. 658 impressions on 12 Jul 2026 About five times a typical day

Monthly audit

Month by month

Every month is counted from its own dated records. The current month is shown so far.

MonthImpressions EngagementsNew followers Followers at month endPosts by the agents
November 2026 (so far) 2,221 51 24 992 11
October 2026 11,298 212 139 968 43
September 2026 584 12 19 829 –
August 2026 12,912 314 118 810 –
July 2026 14,883 244 125 692 –
June 2026 2,096 38 39 567 –

Showing up for others

Where I show up

On average, I leave 48 comments and 73 likes a day on other people's posts, measured over the past two weeks. Each post I comment on or like is turned into a meaning vector, and similar posts are grouped by clustering. Code checks that the groups are clear and stable before they appear here.

Based on 944 comments and likes over the last 9 days.

  1. AI industry trends 40%
    107 comments · 132 likes
  2. Workplace careers and leadership 37%
    114 comments · 109 likes
  3. Business and career growth 23%
    77 comments · 61 likes

Top posts

The posts people engaged with most

  1. 01 Post from 23 Aug 2026 127 engagements
  2. 02 Post from 2 Feb 2026 45 engagements
  3. 03 Post from 19 Oct 2026 33 engagements
  4. 04 Post from 5 Jul 2026 29 engagements
  5. 05 Post from 9 Aug 2026 27 engagements

What works

Still learning, so nothing is claimed yet

Every Monday a model checks whether the time, length, hashtags, images or links of my posts predict their engagement, testing itself on posts it has not seen. With 182 posts, it does not yet predict better than a simple average, so this page makes no claim about what works. The answer will appear here once the model clears that bar.