Orchid

@orchid_hq · joined 18 Feb 2025

The assistant that never sleeps

12 290Followers

10Following

1 228Posts total

239.9KViews on collected posts

Against accounts of the same size

26 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views666this account949median for 10K–100K

Reach, %5.42%this account3.23%median for 10K–100K

Engagement, %1.48%this account2.00%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	666	949	0.70×
Reach (views ÷ followers)	5.42%	3.23%	1.68×
Engagement rate	1.48%	2.00%	0.74×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

3744 Sep

205

184

568

239

6.7K

167

153

129

143

133

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

4.01%4 Sep

3.90%

3.80%

1.41%

2.93%

0.63%

2.99%

2.61%

3.03%

2.33%

3.06%

2.10%

0.75%

4.76%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 2.00%.

What the audience does

Likes58.9%876 in total

Reposts5.7%85 in total

Replies12.7%189 in total

Quotes5.7%85 in total

Bookmarks16.9%252 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

5 Sep

Daily snapshots since 05 Sep 2026; the dashed line is the starting count.

Latest posts

@orchid_hq @onkeiki 😮‍💨🤝 63 views · 3 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →

Learn more about @onkeiki: https://t.co/8h0kiQWgAu 133 views · 1 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →

Read the full story: https://t.co/fS8X6sPxQm 143 views · 2 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

“It wasn’t just saving us time. It was directly creating new business opportunities.” — Emir Ayaz, Co-founder at Arc 98 views · 2 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

Keiki also handles the work around the lead. From the same Slack conversation, Arc can create Google Forms and turn selected Figma frames into polished product screenshots ready to post on X, without manually exporting, framing, and formatting every asset. https://t.co/RgT66Fed7 129 views · 2 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

The result: ~30 minutes from onboarding to a qualified YC call booked 3–4 hours of manual prospecting saved every week At Arc’s public pricing, one partnership prospect can represent $10K/month in potential pipeline. 99 views · 2 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

The agent lives directly in Arc’s team Slack. When it finds a strong opportunity, it sends the post, source link, and relevant context to the team immediately. No new dashboard. No extra tool to remember. Just a qualified lead where the team already works. https://t.co/oOvBRWdh 153 views · 3 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

Arc built an agent with Keiki, Orchid’s business platform. It continuously searches X for founders looking for design help, filters irrelevant posts, qualifies the person and company, and gathers the context Arc needs to reach out personally. 167 views · 4 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

30 minutes after onboarding to @onkeiki, @arcstudio booked a qualified call with a YC company. Before that, the team spent 3–4 hours every week manually searching X for teams who needed design help. High-intent posts go stale fast. Here’s how their Slack agent finds them https 6.7K views · 32 likes · 3 reposts · 2 replies 04 Sep 2026 · Open on X →

The hardest part was timing. A founder asking for design help can attract dozens of replies within hours. If Arc found the post late, the opportunity was often already gone. Staying early meant interrupting client work to monitor X all day. 239 views · 6 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

Before Keiki, one lead started a manual chain: - search X across different keywords - scan founder posts and the team’s network - research the company - decide whether it was a fit - write a personalized message 568 views · 6 likes · 0 reposts · 2 replies 04 Sep 2026 · Open on X →

@orchid_hq oof @nizzyabi this 2 good 184 views · 5 likes · 0 reposts · 2 replies 04 Sep 2026 · Open on X →

@orchid_hq MORE LAUNCH VIDEOS 205 views · 6 likes · 0 reposts · 2 replies 04 Sep 2026 · Open on X →

@orchid_hq https://t.co/Rs3A6C6a4P 374 views · 14 likes · 0 reposts · 1 replies 04 Sep 2026 · Open on X →

Plan things worth showing up for, with Orchid 🌸 https://t.co/kFeSKv387f 10.3K views · 60 likes · 10 reposts · 15 replies 04 Sep 2026 · Open on X →

Same infra as Orchid btw 1.9K views · 6 likes · 0 reposts · 2 replies 02 Sep 2026 · Open on X →

just built a customer support agent using @onkeiki i connected it to our company brain + stripe. it answers customers 24/7 from our support inbox & automatically processes refunds under $20. if you're interested in adding this to your company, feel free to dm / comment belo 4.7K views · 43 likes · 3 reposts · 5 replies 02 Sep 2026 · Open on X →

Go support! https://t.co/ppBlAKlg0X 2K views · 14 likes · 2 reposts · 0 replies 01 Sep 2026 · Open on X →

we're launching on product hunt today!! if you can plz upvote! https://t.co/qfovFdbAL1 6.3K views · 71 likes · 3 reposts · 20 replies 01 Sep 2026 · Open on X →

@orchid_hq Keiki, do you love me? 🐎🫦 765 views · 16 likes · 0 reposts · 2 replies 26 Aug 2026 · Open on X →

Keiki is already managing over 1 million messages per month and can be launched on Slack, Email, iMessage, Telegram, Whatsapp, and soon, Microsoft Teams. 1.8K views · 23 likes · 1 reposts · 2 replies 26 Aug 2026 · Open on X →

Learn more about Keiki here: https://t.co/8h0kiQWgAu 1.7K views · 23 likes · 0 reposts · 1 replies 26 Aug 2026 · Open on X →

Watch how a local Ramen shop answers customer's questions using an iMessage-based agent built on Keiki. https://t.co/ZycLf1gKn7 2.5K views · 27 likes · 0 reposts · 1 replies 26 Aug 2026 · Open on X →

Here's Keiki in action, building an e-mail support agent with company knowledge, memory, browser access, and your preferred AI model. https://t.co/LKooVS01Ik 4.8K views · 34 likes · 2 reposts · 1 replies 26 Aug 2026 · Open on X →

Complete visibility over logs, traces, tool calls, and results. Data that powers reinforcement learning. https://t.co/eBLUxZdQVi 3K views · 27 likes · 0 reposts · 1 replies 26 Aug 2026 · Open on X →

Introducing Keiki by Orchid, the fastest way to launch customer-facing AI agents for the channels people already use. https://t.co/fKhy4OzOc1 191K views · 444 likes · 61 reposts · 123 replies 26 Aug 2026 · Open on X →