💷 PRICES effective from January, 21

PitchUp

3 m $225 ($75/m)
6 m $360 ($60/m)
12 m $635 ($53/m)

S2S

3 m $99 ($33/m)
6 m $149 ($25/m)
12 m $249 ($21/m)

Payment: crypto, RUB, CIS & SEA cards

Trasnscript

— You are a polyglot. Yeah, yep. Wow, um, I did not know that was legal. So I am taking a candid approach* to dating. Trying something new. And to be totally upfront with you, I prefer one. One and done. But that's just me. And no judgment whatsoever, truly.

How many? Uh, six. Six?!

— Yeah.

— Oh my gosh. The number of conversations you have to have just to stay on top of it. That is wild! You know, I must say, I have never met someone with such a strong conjugal* desire.

— Oh, you mean conjugation*.

— Um, no. Not conjugation. Conjugal. Yeah. I know what words mean.

When did this start in your life?

— Oh, as a child.

— I'm sorry?

— Yeah, I had three at age six.

— Where were your parents?!

— Um, they taught me everything I know.

— I feel sick. I feel like you don't understand the gravitas of the situation*. I feel ill.

Could you tell me their names?

— Yeah, English, French, Italian, Spanish, German.

— Don't do that!

— What?

— Treat them as people! Please, okay? They have names. They have real names.

— Oh, and I also speak in tongues*.

— Oh. Okay. Euphemism*. I gotcha. No, I know what that means. La la la la. I get it. I get it.

They used 11 phrases to discuss Amelia:

1. To pop up: To appear suddenly or unexpectedly.
"Ads always pop up when I’m watching videos."

2. To wander /ˈwɒn.də/ To walk or move around with no clear plan or direction.
"We wandered around the city after dinner."

3. To spread so fast To become popular or known very quickly.
"The video spread so fast that millions saw it in one day."

4. To steer somebody away from something To guide someone so they avoid something harmful or unwanted.
"The teacher tried to steer students away from bad online influences."

5. Subverted Changed from its original purpose, often in a negative or opposite way.
"The message was subverted and used to promote hate."

6. To kick-start To cause something to begin or grow quickly.
"One viral post kick-started the trend."

7. To spill into the mainstream To move from a small or niche group into wide public attention.
"What started online soon spilled into the mainstream media."

8. To turn something into a money-making vehicle To use something mainly to make money from it.
"They turned the joke into a money-making vehicle by selling merch."

9. Plausible deniability /ˈplɔː.zə.bəl dɪˌnaɪ.əˈbɪl.ɪ.ti/ Being able to say “I didn’t mean that” and sound believable.
"He used jokes to keep plausible deniability about his real views."

10. Backlash A strong negative reaction from people.
"The campaign faced a public backlash."

11. To undermine the intentions behind To weaken or damage the original goal or purpose of something.
"The memes undermined the intentions behind the educational project."

1️⃣ I infer a high-level style summary (not a transcript analysis). I form a rough, abstract sense of things like:

🫧 tone (playful vs. formal)
🫧 rhythm (short & punchy vs. long & reflective)
🫧 emotional energy (curious, calm, intense, jokey, etc.)
🫧 metaphorical framing (e.g. “brainstorming,” “sparring,” “co-building”)
This is implicit pattern recognition, not rereading every message, scoring you on metrics, or storing a permanent profile.
Think of it as: “What does this conversation feel like?” rather than “What statistically defines it?”

2️⃣ I translate that style into visual metaphors.
Next, I map those inferred traits to imagery concepts humans commonly associate with them. For example:

🫧 collaborative → people building something together
🫧 playful → bright colors, motion, exaggeration
🫧 analytical → diagrams, clean lines, structure
🫧 exploratory → paths, space, maps, light beams
This step is creative and associative, not factual. There’s no fixed lookup table like: “Playful = yellow, Formal = blue”. It’s more like visual storytelling instincts.

3️⃣ I generate an image from a text prompt. Behind the scenes, I write a detailed internal prompt describing:
🫧 scene
🫧 mood
🫧 composition
🫧 style (illustration, photo-realistic, abstract, etc.)
That prompt is fed into an image generation model that starts from visual noise, iteratively refines it, matches the prompt’s concepts and aesthetics.