Klyping
Pre-publish AI analyzer for TikTok, Reels & Shorts
3 weeks ago I had a messy Gemini prompt and a Next.js boilerplate.
Today there's a live product, paying users, and a Google Ads campaign
about to go live. Calling this my IH launch.
The problem that kept bugging me
Every analytics tool on the market measures what already happened.
Views, retention, drop-off — all POST-publication. Completely useless
if what you want is to know what's wrong BEFORE you publish.
I was posting TikToks and Reels weekly, some hitting 20k views, most
flopping at 400, with zero visibility into why. "Post and hope" isn't
a strategy.
What Klyping does
Upload any short-form video. Gemini 2.5 Pro (multimodal) watches every
frame and hears every word in a single pass. You get back:
- Viral score 0-100 — calibrated brutally honest (average real video
scores 45-60, not 85 like most tools would tell you)
- Hook analysis with first-3-second breakdown
- Exact timestamp where viewers drop off
- Platform-specific tips (TikTok/Reels/Shorts each have different
algorithmic priorities)
- The single Priority Fix — the one change that moves the needle
- Hashtags, best post time, title variants, thumbnail score
Free tier: 3 credits on signup + 1 daily. Paid packs: €5/€10/€20
one-time, no subscription. Credits never expire.
The stack
- Next.js 16 App Router
- Gemini 2.5 Pro multimodal — the hardest part was prompt-engineering
it to NOT inflate scores. Default Gemini is way too optimistic.
- Supabase (auth + Postgres + full RLS + Storage)
- Paddle (Merchant of Record — they handle EU VAT which was going to
be a nightmare otherwise)
- Vercel
- Full i18n: EN/ES/FR/DE/PT including the PDF report
Decisions I'd love pushback on
1. Credits over subscription. Usage is bursty (creators don't analyze
daily), and people hate recurring charges for tools they don't
touch for 2 weeks. Gamble: lower MRR predictability.
2. Free tier uses Gemini Flash, paid uses 2.5 Pro. Quality gap is
real — Flash is noticeably worse at nuanced platform-specific
advice. Is the free tier good enough to convert?
3. Brutally honest scoring. Everyone inflates. I deliberately don't.
Gamble: users might leave disappointed with a 47/100 and not come
back for the fix.
What's shipping next
- Meta Pixel + retargeting
- SEO landing pages for long-tail keywords ("ai hook analyzer tiktok"
etc.)
- Referral ("give 5 credits, get 5")
- Smart prompt tightening to squeeze more quality per token
What I'd love feedback on
- Landing in <5s test: does it communicate the product?
- Credits vs subscription — what would YOU prefer as a creator?
- First-session friction?
- Any similar product I should benchmark against?
Try: https://klyp.ing (3 free credits, no card needed)
Happy to AMA about Gemini multimodal prompt engineering, Paddle vs
Stripe for EU, or why I think subscriptions are dead for creator
tools.
1 Comment
It is such a game-changer to get feedback while you still have the chance to edit the video, rather than waiting for the "400 views" flop to tell you the hook failed. Most creators don't realize that the first three seconds are essentially a binary filter—if the visual or audio cue doesn't land immediately, the algorithm has already decided the video's fate before the main content even starts.
Since you've noticed a significant quality gap between the models, do you find that the free tier users on Flash are still getting enough "priority fixes" that actually improve their scores, or is the Pro version's nuance the real "aha" moment for conversion?