Dev Blitz

Indie Dev 💻🏈 | Suffering member of #BillsMafia 🦬 | Powered by caffeine & Josh Allen highlights.

[Dev Blitz @dev_blitznfl]

I just shipped the biggest Image to Video Kit upgrade yet.

Portrait support is live—powered by a new generation model.

A photo doesn’t have to stay frozen. Give it direction, and watch it become a shot.

Here’s what the new version can do ↓

https://t.co/dOF77FLOrD

[Dev Blitz @dev_blitznfl]

@pcshipp The next one will be better — you’ve already learned more than most people who never ship.

[Dev Blitz @dev_blitznfl]

🎉 DeepSeek-V4-Pro official is LIVE!
Enhanced agent capabilities, Responses API + Codex support. Now on web, app & API.
Closing in on Fable 5, standing shoulder-to-shoulder with Grok 4.6. 1M context, insane value.
Can’t wait to test it!
#DeepSeek #V4Pro

[Dev Blitz @dev_blitznfl]

Exciting!

[Elon Musk @elonmusk]

Grok 4.6 reaches #1 on @databricks

[Travis McDonald @TravisMcDonald]

@thsottiaux

[Dev Blitz @dev_blitznfl]

I checked my Codex logs and found it was burning a bunch of tokens on completely useless waiting.
In my two recent long-running jobs: 633M tokens total.
259M of them (41%) were just the model waking up every 30–50 seconds to ask “still running?”
😩1,905 empty polls.
Mostly re-shipping the same context over and over.
A lot of it was cached input, so it’s not like 41% of the bill disappeared.
But seeing that much context and quota get wasted on pure waiting still felt pretty dumb.
The cause was simple: short polling + the outer JS keeping the model half-awake the whole time.
I grabbed three prompt rules from another builder’s share (he reported ~25% less waste) and added them to our global Codex prompts:
• Empty polling waits: at least 180s, preferably 300s
• Async waits follow the same floor
• Outer runtime must always wait longer than the inner process
I don’t have our after numbers yet, but the before is already clear.
At this scale, polling defaults stop being small details.
They become real infrastructure costs.
📷Quick self-check: ask your Codex to look at recent job logs:"Got a ton of empty 30–50s polls? Or is the wait-related token share ridiculously high?"
#vibecoding

[Dev Blitz @dev_blitznfl]

True dat.
Distribution is just as important as building the product.

[Tom Otto @launch_llama]

True dat

[Buffalo Bills @BuffaloBills]

A Saturday well spent.

[TechieSA @TechieBySA]

Zuri didn’t come to compete. She came to win 🇯🇲

Seedance 2.0 + GPT Image 2 on @TapNow_AI

Prompt👇🏻

[Dev Blitz @dev_blitznfl]

How I stopped hunting for free backlinks the hard way.
I switched to a better method:I picked 10 small products in the same category and checked their referring domains with tools like Ahrefs, Semrush, SimilarWeb, or AITDK.I only kept a site if:
• it had a real public submit path
• an existing listing linked directly to the tool’s domain
• the link wasn’t nofollow, sponsored, or hidden behind a redirect
• there was no paid upgrade, badge, or reciprocal-link trap
• the submission was actually free and the directory still looked active/effectiveFirst pass:
10 seeds → a handful of potential directories → 1 new candidate after filtering.Its final submission endpoint returned a 500, so acquired backlinks: 0.Still, the workflow is solid:Backlink tools surface candidates.
Cross-seed overlap ranks them.
Manual checks confirm free submission + real value.
And the repetitive parts can be automated with Codex.The bottleneck isn’t more tool credits.
It’s picking the right competitors and rejecting shortcuts.

[Dev Blitz @dev_blitznfl]

Been running Codex’s Solmedium + Lunamax setup lately.
Sol handles the thinking + final review, Luna takes most of the clear, well-scoped tasks.
Cuts my weekly quota a lot without slowing things down.I made a clean skill/prompt for properly delegating to a new Luna thread.
Drop a 🔥 or comment “prompt” if you want it — I’ll paste the full thing.

[Dev Blitz @dev_blitznfl]

Been looking at my site data and GA4 is kinda disappointing — the funnel is way too coarse, can’t really see the key conversion steps. Anyone got better tools or setups they actually like?

[Dev Blitz @dev_blitznfl]

Been trying DeepSeek-V4-Flash lately. Feels pretty close to Opus5 on deep thinking. What do you guys mainly use it for? Any scenarios where it actually shines?

[Dev Blitz @dev_blitznfl]

@Cia0_exe @Image1 Same prompt and reference image is the right comparison. For product shots, I'd score shape and logo retention separately from VFX. The flashier result can still lose the actual product.

[Dev Blitz @dev_blitznfl]

@Noor_ul_ain43 Nine scenes in 15 seconds is ambitious. For a product ad, I'd watch whether the tube, label, and color stay identical through every cut, not just whether each frame looks cinematic. That's the one-product-image constraint I work on, and the workflow is on my profile if useful.

[Dev Blitz @dev_blitznfl]

@Artedeingenio Action scenes are a brutal benchmark. For product visuals, I’d also score object and logo consistency through slower camera moves. That’s where drift becomes obvious fast. I’ve been testing that narrower one-photo workflow too; it’s on my profile if useful.

[Dev Blitz @dev_blitznfl]

@thecodeguyy real-time payment and error alerts in one place is a smart combo. followed — curious to see where Customer.log goes. let's keep in touch!

[Dev Blitz @dev_blitznfl]

Found the issue: our robots rules blocked X from crawling UTM links.

Fixed it. X now fetches the page and loads the large card correctly:
https://t.co/MVjl1qLv50

[Dev Blitz @dev_blitznfl]

@Rich2k97 If the missing step is animating one product image, I built Image to Video Kit for that narrower job: 5/10s clips, vertical/square/wide, with a reference-lock option. You can find it on my profile if you want to see the workflow.

[Dev Blitz @dev_blitznfl]

How I use AI to make a product promo video in 2 hours—with low friction, not max automation:

1. HyperFrames — HTML/CSS/JS video composition. Best for product UI motion, captions, CTAs, local preview, and deterministic renders.

2. video-use — agent-assisted editing for raw footage: transcript-driven cuts, captions, color, and overlays. Its automated edit path uses ElevenLabs transcription.

3. Remotion — React/TypeScript video rendering. Great when a React team needs reusable or batch-produced video templates.

4. video-editing — an FFmpeg + Whisper editing workflow for trims, jump cuts, captions, and text overlays. Useful for editing; not a composition engine.

For Image to Video Kit's first promo, I picked HyperFrames. I needed controlled motion, captions and CTA, plus a preview/render loop I could inspect locally.

For a first launch video, I value controllable, reviewable, repeatable over “smartest” automation. That's where HyperFrames fits.

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