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Social Media AI

AI-Buzz tracks 3 Social Media AI companies. Current signals are clearest in package pull, public code usage, and downstream package usage. Current leaders include Later, Buffer, and Flick. The current snapshot covers 1.1M package downloads per month and 766 public importing repos.

1 of 3 companies with package pull1 of 3 companies with public code signals

Companies

3

Core companies in scope

Package pull

1.1M/30d

1 companies with registry activity

Public code

766

1 companies with imports detected

Dependents

33

1 companies with downstream packages

Funding

$135M

3 companies with disclosed rounds

Lead signals

What shows up first in this category

package pull, public code usage, and downstream package usage are the clearest aggregate signals across Social Media AI right now.

Package pull

1.1M/30d

1 of 3 companies show registry usage; Later currently leads.

Public code

766

1 companies show public imports; Later leads.

Dependents

33

1 companies show downstream package usage.

Reading

How the current signals read

package pull and public code are the clearest category-wide signals right now.

Package pull

1.1M/30d

Across 1 of 3 tracked companies

Public code

766

1 companies with imports detected

Dependents

33

Across 1 companies with downstream packages

Funding

$135M

Across 3 companies with disclosed rounds

Key facts

  • Later is the current DAI leader at 33.
  • Later leads current package pull with 1.1M/30d.
  • Later shows the widest public code footprint with 766 importing repositories.
  • Later has the largest disclosed funding footprint at $131M.

Coverage

  • 1 of 3 companies with package pull
  • 1 of 3 companies with public code imports
  • 1 of 3 companies with downstream package usage
  • Latest category snapshot synced April 13, 2026.

Signal routes

Where to inspect this category next

Use the category summary to identify where the signal mix is strongest, then open the company pages behind it.

Company routes

Read the strongest company pages next

These cards surface the strongest signal mixes, then link straight into the company pages with the underlying detail.

View all companies →
#1
Later logo
Later

Visual social media scheduler with AI content recommendations. Instagram-focused.

Moderate

1.1M/30d package pull, 766 public repos, and 33 dependents.

DAI

33

Package pull

1.1M/30d

Public code

766

Dependents

33

2.4K GitHub stars
Open company page →
#2
Buffer logo
Buffer

Social media management platform with AI content suggestions and scheduling.

Moderate

$4M funding and 2/30d HN mentions.

DAI

0

Funding

$4M

HN

2/30d

1.9K GitHub stars
Open company page →
#3
Flick logo
Flick

AI-powered hashtag and content tools for Instagram.

Moderate

$15K funding and 17/30d HN mentions.

DAI

0

Funding

$15K

HN

17/30d

2 GitHub stars
Open company page →

All 3 companies in this category

Comparison table

Compare the full category

Sort by the signal that matters most for this category: combined DAI, package pull, public code adoption, hiring demand, or funding depth.

CompanyDAI ScoreDownloads (30d)Public CodeHiringFunding
Later

Visual social media scheduler with AI content recommendations. Instagram-focused.

331.1M766-$131M
Buffer

Social media management platform with AI content suggestions and scheduling.

----$4M
Flick

AI-powered hashtag and content tools for Instagram.

----$15K

FAQ

Common questions

What are the top Social Media AI AI companies?

The current DAI leaders in Social Media AI include Later (DAI 33), Buffer (DAI 0), and Flick (DAI 0). Use the company pages to inspect the package pull, public code, hiring, and funding signals behind those rankings.

How much public adoption shows up in Social Media AI?

Across 3 tracked companies, current public signals show 1.1M package downloads per month, 33 known dependents, and 766 public importing repos. Coverage is uneven by company, so the detail pages show which signals are actually present for each one.

How much funding have Social Media AI AI companies raised?

Social Media AI AI companies disclose $135M in combined funding across 3 tracked companies with known rounds.

How much developer discussion shows up around Social Media AI?

The current snapshot tracks 22 Hacker News mentions across 3 companies in Social Media AI. Discussion is supportive context rather than the lead signal.

Where should I start when reviewing Social Media AI?

Start with the strongest signal routes: Later leads package pull and Later leads public code usage. Then compare those companies against the full table to see whether the category is concentrated or broad.

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