LAUNCH ✓

@LAUNCH · San Francisco, CA · joined 13 Sep 2010

We Back Builders. Founded by @Jason. Team behind @twistartups @launchincubator @thesyndicate415 @founderuni @remotedemoday

43 714Followers

330Following

16 482Posts total

176.5KViews on collected posts

Postingan terbaru

LAUNCH ✓@LAUNCH9 Sep

Last week's mentorship session was on 🔥 Our Founder University Japan's founders benefited from three distinct perspectives across consumer products, early-stage GTM, and Asia Pacific expansion. 673 views · 1 likes · 0 reposts · 1 replies Open on X →

LAUNCH ✓@LAUNCH9 Sep

Another coworking session in the books, and this one was all about pitch decks. Richard C Dunne joined in to mentor the founders and dove deep into their products, focusing on their value proposition and what investors look for. 1.3K views · 4 likes · 0 reposts · 2 replies Open on X →

LAUNCH ✓@LAUNCH8 Sep

Most startups don't get hurt by bad luck. They get hurt by legal mistakes that were entirely avoidable. Andrew Sparks, Partner at Goodwin with 16 years in startup law, joined @FounderUni University Japan this week to break them down. Tactical takeaways 👇 1.4K views · 1 likes · 0 reposts · 1 replies Open on X →

LAUNCH ✓@LAUNCH31 Aug

@LAUNCH Thanks for the sharp discussions - had fun! 7 views · 0 likes · 0 reposts · 0 replies Open on X →

LAUNCH ✓@LAUNCH31 Aug

@todasco: investor and former Global Innovation Lead at PayPal, holding 120 patents, now a Visiting Fellow at SDSU's AI Center. He dug into product, GTM, and how to pitch AI-driven ideas to investors. https://t.co/GR9GKNphnS

339 views · 0 likes · 0 reposts · 1 replies Open on X →

LAUNCH ✓@LAUNCH31 Aug

@shyamady: CEO and founder of Retreat and a LAUNCH Accelerator cohort 19 alum. He walked founders through fundraising in the Japanese ecosystem, specifically the do's and don'ts and when to actually time a raise. The best part? Founders didn't just hear generic advice; they got

193 views · 1 likes · 1 reposts · 0 replies Open on X →

LAUNCH ✓@LAUNCH31 Aug

Another mentor pod session for our Founder University Japan cohort last Friday, three sharp perspectives across fundraising, product, and building. @JasonYoong: founder who's raised an $8M seed round, with a background at Amazon, Dentsu, and IPG. He covered how to sharpen https:

1.5K views · 6 likes · 1 reposts · 2 replies Open on X →

LAUNCH ✓@LAUNCH17 Jan 2023

@LAUNCH @OfficialBBrooks Applied! 1.1K views · 5 likes · 0 reposts · 0 replies Open on X →

LAUNCH ✓@LAUNCH17 Jan 2023

If you are pre-launch or pre-revenue and want to build with a community of founders, join @FounderUni - https://t.co/uAg91q9Rr2 2.5K views · 6 likes · 0 reposts · 0 replies Open on X →

LAUNCH ✓@LAUNCH17 Jan 2023

👋 Founders, we are looking to take meetings with startups at $5-100k a month in revenue (pre-series A) Apply 👇 and we will meet with you for 20 minutes https://t.co/YNGjo2GxaQ 167.5K views · 229 likes · 22 reposts · 41 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan673akun ini1 061median untuk 10K–100K

Jangkauan, %1.54%akun ini3.72%median untuk 10K–100K

Interaksi, %0.30%akun ini1.65%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	673	1 061	0.63×
Jangkauan (tayangan ÷ pengikut)	1.54%	3.72%	0.41×
Tingkat interaksi	0.30%	1.65%	0.18×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

167.5K17 Jan

2.5K

1.1K

1.5K31 Aug

193

339

1.4K8 Sep

1.3K9 Sep

673

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.17%17 Jan

0.24%

0.45%

0.59%31 Aug

1.04%

0.29%

0.00%

0.15%8 Sep

0.46%9 Sep

0.30%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes53.0%253 in total

Reposts5.0%24 in total

Replies10.1%48 in total

Bookmarks31.9%152 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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