Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.
Bill Gates's audit covers 8 public posts, including 8 with both reaction and comment counts. The measured median is 3,020.5 interactions. AI & building products is the most represented detected theme (4/8; themes can overlap). Start with a concrete follow-up to an existing subject, then test the opening and reply invitation across a consistent four-week sample.
8 of 8 posts have both public counts. Their median is 3,020.5 interactions. Compare future experiments with your own sample rather than an unrelated peer score.
“I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are some of the most intere” has 9,241 visible interactions. That is 3.1× the sample median. Its topic and opening are candidates for a follow-up experiment; this does not identify why it performed.
1 of 8 posts contain a question. Measured posts generated 14.9 comments per 100 reactions. Counts can include the author's replies and do not measure lead quality or sentiment.
The median gap between sampled dates is 0.7 days; the longest is 4.4 days (7 intervals). Missing posts can exaggerate gaps, so this is not a complete publishing calendar.
The source did not identify the media type for every post. Unknown posts remain in overall metrics but do not justify a format recommendation.
Public audience snapshot
Average interactions ÷ followers · n=8
Per post · median 2,662.5
Across a 8.9-day sample
Headline not supplied by the source
These are source images, which may be resized. An unavailable image does not mean it is missing on LinkedIn.
Open any section to see the evidence and a practical fix. Unknown data is not a failed check.
5 / 15 points assessable · partial coverage
The source supplied an image URL.
Choose a current, recognizable photo. Preview the circular crop at comment size and leave space around your head.
Image pixels have not been inspected for this snapshot.
Use a square original, check sharpness at full size, and preview the circular crop. A small provider thumbnail does not prove your original upload is low resolution.
0 / 10 points assessable · partial coverage
No usable image URL was returned; absence on LinkedIn is unconfirmed.
Use a simple cover that says who you help and what you do. Keep important text clear of the profile-photo overlay.
Image pixels have not been inspected for this snapshot.
Preview your cover on desktop and mobile. Start with a 1584 × 396 canvas and keep the message readable without tiny text.
10 / 10 points assessable
Source text: “Bill Gates”
Use the name people know you by, consistently across your profile and other professional channels. Single names and all writing systems are supported.
Source text: “Bill Gates”
Move URLs, contact details and sales calls to action into About or Contact info. Keep your actual name unchanged.
0 / 15 points assessable · partial coverage
Not returned in readable form by the source.
State your role or specialty in the headline, using terms your intended reader understands.
Not returned in readable form by the source.
Use this structure: [role or specialty] · Helping [audience] achieve [outcome]. Replace every bracket with a truthful detail.
Not returned in readable form by the source.
Keep the headline focused on one main promise. Move your longer story into About.
0 / 20 points assessable · partial coverage
Not returned in readable form by the source.
Lead with who you help, the problem you solve and the work you do today.
Not returned in readable form by the source.
Add a specific example of your work, your approach, and the kinds of opportunities you welcome. Length is a structure check, not a quality guarantee.
Not returned in readable form by the source.
Break About into short paragraphs: current focus, relevant proof, then how to connect.
Not returned in readable form by the source.
End with one relevant next step, such as who should message you and what to include. This automated check recognizes English phrases and links; review other languages manually.
0 / 15 points assessable · partial coverage
No readable entries were returned. We cannot conclude this section is empty.
List relevant roles with an accurate title and organization. Connect them to the work you want to do next.
Not returned in readable form by the source.
For each relevant role, explain your responsibility, a concrete contribution, and an outcome you can substantiate. Do not invent numbers. Masked source descriptions need manual review.
0 / 10 points assessable · partial coverage
No readable entries were returned. We cannot conclude this section is empty.
Add relevant education or structured learning you want to share. Name the institution or course accurately; formal degrees are not required for a strong professional story.
Not returned in readable form by the source.
Describe your subject, course or qualification and one relevant project or skill. Use the full qualification name where helpful. We assess clarity, never institution prestige or degree level.
5 / 5 points assessable
Source text: “Seattle, Washington, United States”
Use an accurate city or region if you want it visible. Do not add a home address. Omitted provider data is not penalized.
Not returned in readable form by the source.
Not returned in readable form by the source.
No readable entries returned.
No readable entries returned.
Hidden entries are omitted from this readable preview. Source text is not independently verified.
The automatic image grade checks file readability and shape. Use this checklist to review the visual choices it cannot judge.
A transparent presentation checklist, not a LinkedIn ranking, talent assessment or prediction of reach. Grade thresholds: A+ 90, A 80, B 65, C 50, D 35, F below 35.
Score = earned points ÷ assessed points × 100. Coverage is assessed weight out of 100. Unavailable and masked data are excluded. Scores with different coverage are not directly comparable.
Truncated text earns only checks already demonstrated in the visible excerpt; the unseen remainder is not marked wrong. Text rules measure structure, not factual accuracy, writing quality or every language equally.
Photo and banner grades cover image availability, decoding and shape only. Face framing, lighting, expression, visual style and authenticity require a human review. No appearance, identity or personality judgments are made.
An education entry is evidence of profile context, not verified credentials. School prestige, age, degree level and background do not affect the score.
Section weights: photo 15, cover 10, name 10, headline 15, About 20, experience 15, education 10, location 5. Passed checks earn their full weight; improvements earn zero; unknown checks are excluded.
Full methodology| Date UTC | Reactions | Comments | Total |
|---|---|---|---|
| 2026-09-04 01:44 | 1,506 | 128 | 1,634 |
| 2026-09-04 01:48 | 811 | 78 | 889 |
| 2026-09-04 02:30 | 3,567 | 367 | 3,934 |
| 2026-09-04 20:30 | 8,462 | 779 | 9,241 |
| 2026-09-09 05:16 | 3,849 | 1,393 | 5,242 |
| 2026-09-11 05:20 | 2,982 | 388 | 3,370 |
| 2026-09-12 17:43 | 436 | 101 | 537 |
| 2026-09-12 23:54 | 2,343 | 328 | 2,671 |
Post totals at collection time. Older posts have had more time to collect reactions and comments.
Median visible interactions: 2,784 for the earliest 4 measured posts and 3,020.5 for the latest 4. This compares selected posts of different ages, not account growth.
Median / highest measured interaction total. A breakout can lift the average; the median provides another view of a typical sampled post.
Median gap: 0.7 days · Longest gap: 4.4 days · 7 observed intervals.
| Group | Posts / measured | Median interactions | Average interactions |
|---|---|---|---|
| Wed UTC | 1 / 1 | 5,242 | 5,242 |
Fri UTCSupporting posts · 5
| 5 / 5 | 3,370 | 3,813.6 |
| Sat UTC | 2 / 2 | 1,604 | 1,604 |
Sample size and topic mix differ by day. This is neither an audience activity chart nor evidence of the best time to post.
English keyword groupings, with overlapping themes. Treat labels as a starting point for review; group totals can exceed the sample size.
Unknown means the source did not verify the format. Small or unequal groups do not establish a winning format.
| Opening | Hook type | Words | Paragraphs | Final CTA | Tags / mentions |
|---|---|---|---|---|---|
| I agree with Dario and am glad to see the support from leaders of the other frontier labs. The world | Number-led | 58 | 1 | Not detected | 0 / 0 |
| Everyone should benefit from clean energy. Breakthrough Energy is making it happen. | Statement | 12 | 1 | Not detected | 0 / 0 |
| AI has huge potential for agriculture, especially in low-income countries—and Neema Mduma, PhD is he | Statement | 21 | 1 | Not detected | 0 / 0 |
| I’ve been thinking a lot about the idea of Human Reserved jobs—setting aside certain roles for peopl | Statement | 90 | 3 | Detected | 0 / 0 |
| I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som | Statement | 25 | 1 | Not detected | 0 / 0 |
| This is great news in the fight against Alzheimer’s. Until recently, testing was a long, invasive pr | Number-led | 44 | 1 | Not detected | 0 / 0 |
| This is incredible progress. It shows that with sustained country momentum, an end to the AIDS epide | Statement | 23 | 1 | Not detected | 0 / 0 |
| Breakthrough Energy-backed companies like Fervo Energy, Antora Energy, and Redwood Materials are cre | Statement | 23 | 1 | Not detected | 0 / 0 |
Hook type uses the first nonempty line. CTA detection checks the final paragraph for a question or action phrase. Paragraphs use blank-line breaks. These rules can miss meaning and linked mentions.
No data available for this grouping.
Tags travel with the topic, author and format. These associations cannot isolate a hashtag's effect.
Ordered from building a useful baseline to testing individual writing choices. Potential impact describes the purpose of an experiment, not a promised uplift.
The sample includes “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som”. Its visible interaction total is 9,241.
Build a follow-up to “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som”. Add a concrete example, a decision you made and one lesson. Keep the format similar so topic development is the main experiment.
Potential impact: Test repeatable interest in an existing subject
Metric to watch: Reactions and comments after the same seven-day window; compare with the baseline median
Median text length is 24 words with 1 paragraphs. 6 of 8 openings are classified as statements.
For the next post related to “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som”, open with a specific problem and a concrete outcome you can substantiate. Move context into the second paragraph. Avoid invented results or curiosity gaps that the post does not resolve.
Potential impact: Improve clarity; any engagement effect remains to be tested
Metric to watch: Median interactions across at least three comparable posts per opening approach
1 of 8 final content lines contain a detected question or action phrase; 1 posts contain a question anywhere. These are text rules, not semantic judgments.
End one upcoming post with a focused trade-off question connected to ai & building products. Ask readers to share a decision and why. Read replies before deciding whether the discussion was useful.
Potential impact: Test whether a clearer invitation supports useful discussion
Metric to watch: Public comments per post and manual review of reply relevance
8 dated posts span 8.9 days. Observed cadence is 5.5 posts per week.
Choose two slots per week for the four-week experiment below, or reduce the schedule if your capacity is lower. Keep the slots consistent and log every published post. Two slots are a planning choice, not a LinkedIn benchmark.
Potential impact: Create comparable records and a manageable learning loop
Metric to watch: Planned versus published posts, time spent, and median interactions at seven days
0 of 8 posts contain hashtags and 0 contain visible @mentions. LinkedIn may return linked mentions as plain text, so detection can undercount.
Use relevant topic labels only when they clarify the subject. Mention people only when they contributed or are directly relevant. Test a consistent tagging approach on comparable posts; do not attribute performance changes to tags alone.
Potential impact: Keep context and attribution useful
Metric to watch: Median interactions for tagged/untagged samples, with sample sizes and topic differences
unknown: 7 posts (7 measured); image: 1 posts (1 measured).
Turn one idea related to “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som” into a concise checklist or document post. Keep a similar topic and ask the same type of question. Label this a new format experiment, not a proven winning format.
Potential impact: Learn whether a different presentation helps explain the same idea
Metric to watch: Public interactions at the same post age; at least three posts in each format before comparison
Simple ideas from this profile’s available evidence. Choose one, add your own experience, and review the result.
Follow up on “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som”: what changed since publishing, what stayed difficult, and the next step. Only include outcomes you can verify.
Break the work behind “I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are som” into three decisions. Add an example or screenshot you have permission to share.
Describe two approaches to ai & building products, explain your constraint, and ask which constraint readers face.
Name a specific problem or observation from your own experience.
Add a supported example, a decision and what you learned.
Ask a focused question. Compare the response with your own sample.
These are rule-based suggestions, not a personalized AI strategy or a guaranteed posting schedule.
I’ve had a number of thoughtful and engaging conversations since sharing my memo on AI. Here are some of the most interesting questions I’ve received:
I’ve been thinking a lot about the idea of Human Reserved jobs—setting aside certain roles for people because there is something irreplaceably human about them. As AI continues to transform the way we work, I think this is an important part of the conversation about how we navigate the transition and ensure that the good from AI outweighs the bad. I don’t have all the answers, but I hope communities and leaders around the world come together to decide. What jobs do you think should be reserved for humans?
This is great news in the fight against Alzheimer’s. Until recently, testing was a long, invasive process involving expensive brain scans and painful spinal taps. New blood tests like this one could help families get answers sooner and more easily: https://wapo.st/3UqZvnJ
AI has huge potential for agriculture, especially in low-income countries—and Neema Mduma, PhD is helping lead the way with KilimoAI.
I agree with Dario and am glad to see the support from leaders of the other frontier labs. The world needs a plan, developed in a global, public process. If we can slow down the growth of AI, we'll have more time to ensure the benefits outweigh the harm, and leave everyone better off: https://b-gat.es/3SZjw4m
Breakthrough Energy-backed companies like Fervo Energy, Antora Energy, and Redwood Materials are creating jobs and supporting the talent that brings innovation to life.
This is incredible progress. It shows that with sustained country momentum, an end to the AIDS epidemic could be closer than we think.
Everyone should benefit from clean energy. Breakthrough Energy is making it happen.
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Independent analysis of publicly available information. Not affiliated with LinkedIn or the profile owner. Impressions, profile views, private analytics, and follower growth are not available in this snapshot.
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