The Startup Ideas Podcast (SIP) 🧃 ✓
@startupideaspod · Get ideas → · joined 10 Jul 2025
Get startup ideas and practical tutorials on AI tools to build your business. Host: @gregisenberg Available on Spotify, Apple and YT
47 288Followers
9Following
703Posts total
307.9KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
One of the best things to build right now is an action app.
An action app clears your inbox, books your calendar, and files your expenses on your behalf.
The AI-first version of email answers 80% of your messages and shows you the one or two a day that are too important to ht
3.5K views · 31 likes
· 4 reposts · 1 replies
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How do you get an owner to book a call about your agent?
Show them their own workflow. Twice.
First, the old way:
- A call comes in. Nobody answers. The customer calls the next company.
- Or the CSR answers, asks five questions, checks the calendar, checks the service area,
4.1K views · 31 likes
· 0 reposts · 1 replies
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@startupideaspod Targeting a specific pain point is key. Focus on metrics that matter to customers.
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@startupideaspod The pilot is where your agent discovers customers do not speak JSON. Those messy exceptions become the routing rules. Agentic Adderall has an adversarial review step for the same reason: somebody needs to try the door before we declare the house finished.
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@startupideaspod But the main bottleneck right now is getting people
it seems so difficult to reach businesses on LinkedIn with 0 follower
And I don't even use insta
Cold email don't work anymore
45 views · 0 likes
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How do you sell agents before you build them?
You run the pilot as labor. You charge for the outcome.
Pick one niche.
Start with 3 customers with the same workflow and the same pain
Then promise a result you can measure: "we will answer and qualify your missed calls."
Price
13.7K views · 129 likes
· 15 reposts · 4 replies
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How do you get a boring business to trust an AI agent?
Show the test results before you pitch.
Here's an example: The agent handles maintenance requests for property managers.
Take 50 of their old requests. Mark the correct answer for each one. Run the agent against all 50. ht
6.4K views · 56 likes
· 5 reposts · 4 replies
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What is the smallest agent that a customer will pay for?
The minimal useful agent.
4 versions work on day one:
1) Draft and approve: it reads the context and writes the reply. A person approves it.
2) Triage: it sorts new work and sends it to the correct place.
3) https://t
6K views · 75 likes
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@startupideaspod Exactly nailed it! It's the era for smart agentic layers that work on traditional SaaS Applications.
Context applied to sales teams on salesforce: removing the admin work and research from their everyday life; having opinions on their deals, what they should do
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@startupideaspod Exactly, this is what Lymwave does for its customers, agentic marketing on auto-pilot!
"An agent product says: here's a job your team no longer does by hand"
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เทียบกับบัญชีขนาดเดียวกัน
12 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.
ยอดดูมัธยฐาน2 030บัญชีนี้1 033ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %4.29%บัญชีนี้3.60%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.82%บัญชีนี้1.69%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 2 030 | 1 033 | 1.97× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 4.29% | 3.60% | 1.19× |
| อัตราการมีส่วนร่วม | 0.82% | 1.69% | 0.48× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
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
12.8K18 May
260.4K1 Jul
1172 Jul
520
225
6K4 Sep
6.4K5 Sep
13.7K
456 Sep
22
8
4.1K
3.5K
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.15%18 May
0.17%1 Jul
0.85%2 Jul
0.19%
0.89%
1.42%4 Sep
1.02%5 Sep
1.09%
0.00%6 Sep
0.00%
0.00%
0.78%
1.02%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.69%.
What the audience does
Likes35.6%828 in total
Reposts3.7%86 in total
Replies1.6%38 in total
Quotes0.3%6 in total
Bookmarks58.8%1 370 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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