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Jovan Kis

Jovan Kis

LinkedIn Content Strategy & Writing Style

Co-Founder @ UkisAI (Building TrueStay)

France
2,570 Viral ScoreView on LinkedIn

0 people tracking this creator on ViralBrain

Warm Analysis

Jovan Kis positions himself as a pragmatic, high-velocity founder who bridges the gap between sophisticated AI engineering and frictionless consumer utility. His content strategy centers on "building in public" with a heavy emphasis on solving "hidden" user frustrations, such as the information overload of travel reviews or the limitations of generic AI coding assistants. What makes him notable is his commitment to radical accessibility; he frequently launches tools like TrueStay and VibeUkis without sign-up walls or paywalls to prove immediate value. There is a compelling intersection in his work between consumer-facing simplicity and deep-tech infrastructure, moving seamlessly from storytelling about hotel bedbugs to technical discussions on RAG orchestration and on-prem enterprise AI.

Performance Overview

Followers

965

Connections

846

Avg. Engagement

217

Engagement Rate

Posts/Week

0.3

Viral Score

2,570

Posts Analyzed

1

Top Posts by Engagement

Rezervisao sam hotel sa 8.5/10 🌟 na Booking-u. WiFi nije radio. Prozori se nisu otvarali. A “5 minuta od centra” je bilo 25. Sve je pisalo u review-ima. Ali na stranici 47... Problem nije što…

LinkedIn post image: Rezervisao sam hotel sa 8.5/10 🌟 na Booking-u.
1.3K11127100 viral
AI Travel Tech8 months ago
View on LinkedIn

Za nedelju dana smo prešli 6.000+ korisnika, a sve je počelo od jednostavne ideje: 👉 da AI u 30 sekundi pročita recenzije sa Booking-a i pomogne ljudima da brže donesu odluku koji hotel će uzeti. Z…

215302100 viral
AI Product Growth8 months ago
View on LinkedIn

Drugar me je pitao za hotel u Parizu. "Jel možeš da mi pomogneš? Dolazim sa devojkom za rođendan." Poslao mi je 2 opcije. Obe 8.1/10 ⭐ na Booking-u. Rekao sam mu: "Sačekaj 2 minuta." Hotel #1 (700…

LinkedIn post image: Drugar me je pitao za hotel u Parizu.
208202100 viral
AI in Travel8 months ago
View on LinkedIn

Product went viral. 24 hours later: AWS in my inbox. Not an unpaid invoice. A real person, Lazar Radenkovic asking how they can help us scale. TrueStay hit 189k impressions. 5k+ Users tried our pr…

LinkedIn post image: Product went viral.
15171100 viral
Startup Growth8 months ago
View on LinkedIn

Startit & I giving out raw value for free

285266 viral
Marketingabout 1 year ago
View on LinkedIn

Did you ever feel like you need to multiply yourself just to get everything done? A few months ago, that’s exactly how we at UkisAI (a small team building AI products) felt. As a team building AI p…

290247 viral
AI Developer Tools10 months ago
View on LinkedIn

Posting Patterns & Frequency

0.3 posts/week

Posts / Week

22.4 days

Days Between Posts

1

Total Posts Analyzed

LOW

Posting Frequency

Timezone: Europe/Paris

Best Performing Days

ThursdayTuesdayMonday

Best Performing Times To Post

07:00–08:0014:00–15:00

Topics & Content Focus

Primary Topics

AI-driven consumer decision support (summarizing high-volume reviews into actionable truth)Problem-first product storytelling for rapid adoption (pain → solution → proof)Building in public as a growth engine (distribution → opportunities → credibility)

Secondary Themes

Travel trust & review-platform failure modes (rating inflation, buried negatives, information overload)Zero-friction product-led growth (no signup/no payment) as positioningStartup momentum signals (media coverage, AWS/startup programs, scaling narrative)

Industry Focus

Consumer travel tech / booking decision toolsAI utility micro-SaaS (LLM summarization layer on top of marketplaces)Product-led growth for early-stage AI products

Content Categories

Problem/Solution product demosFounder narrative & milestone updatesSocial proof & credibility moments (press, partners)Community prompts (questions, share/save asks)

Performance Insights

217.1%

Avg Engagement Rate

DECREASING

Performance Trend

Best Performing Topics

Personal travel pain → AI summary fix (information overload → clarity in 30 seconds)Concrete side-by-side hotel comparison showing rating mismatchMomentum/validation stories (viral reach, AWS outreach, press interview)

Virality Signals

One post materially outperforms baseline via a highly relatable failure scenario + strong CTAExternal validation loops (press outreach, AWS inbound) used as proof of demandHigh-share behavior when the post is immediately useful to forward ("send to someone who travels")

Structure & Quality

190

Avg Length (Words)

MEDIUM

Depth Level

INTERMEDIATE

Expertise Level

0.8/10

Uniqueness Score

Common Hooks

Negative personal experience that exposes a broken system (high rating, bad reality)Relatable mini-story with a concrete character (friend asking for help)Credibility spike narrative ("went viral" → unexpected inbound from major brand)

Common Endings

Direct product link after a clear promise (speed + outcome)Friction-killer reassurance (no signup / free / instant answer)Social sharing prompt (tag a frequent traveler / share / save)Invitation to comment with results or a question to the audience

Value Delivery Methods

Turns abstract AI into a single, fast, concrete job-to-be-done outcomeReduces decision risk by extracting buried review deal-breakersProvides instant utility before asking for anything (free, no signup)

Formatting Style

Very short lines for scannabilityBullet lists to surface hidden negatives/positives from reviewsArrow-led benefit framing (→ WiFi? → safety? → what people really say?)Repetition for emphasis ("Without X. Without Y. Just Z.")Light emoji as warmth/brand signature (stars/heart)

Audience & Tone

YES

Question Usage

0.3%

Response Rate

Detected Tone

Smart-casual builder voice (relatable, product-minded, no corporate polish)Benefit-obsessed and friction-intolerant (speed, simplicity, no signup)Direct-response storytelling (hook → tension → reveal → CTA)Multilingual, local-founder authenticity (Serbian/French/English mix)informalfirst-person

Interaction Style

Utility-forward responses (people engage when they can try and report back)Social proof amplification (audience reacts to momentum/validation updates)Conversation starters via direct questions at the end

Community Building Signals

Invites users to share outcomes in comments (participatory proof)Encourages saving/sharing to peers (creates a referral habit)Positions followers as part of the build-in-public journey (updates as episodes)

Writing Style Patterns

Content Strategy

Hook: Negative personal experience that exposes a broken system (hTone: informalCTA: Try-now CTA ("paste the link" / "try before bookin

Writing style breakdown

The author’s voice is that of a 'pragmatic builder'—someone who values utility, speed, and transparency over corporate polish. The style is punchy, direct, and highly persuasive, utilizing a 'problem-solution' narrative arc that feels personal rather than clinical. It sits at the intersection of professional and conversational, often reading like a series of rapid-fire thoughts or a text message from a knowledgeable friend.

Core Characteristics

The writing is methodical but disguised as spontaneous. It uses a 'hook-heavy' approach where the first line is designed to stop the scroll, followed by a rapid descent into the core value proposition. It is deeply informative but delivered with the brevity of a pitch deck. There is a subtle 'us vs. them' or 'new way vs. old way' undertone (e.g., 'Booking says X, but the reality is Y').

Emotional Tone and Energy

The energy is high and fast-paced. The author uses short sentences to create a sense of momentum. Even when discussing technical topics like AWS or AI infrastructure, the tone remains accessible and grounded in real-world results (impressions, users, bugs).

Signature Writing Traits

Rhetorical Questions: Used to mirror the reader's internal monologue ('Who has time to read everything? Nobody.').

Storytelling: Often starts with a personal anecdote or a specific scenario ('A friend asked me...', 'I booked a hotel...').

Social Proof: Frequent mention of numbers (6,000+ users, 189k impressions, 8.5/10 rating) to establish immediate credibility.

Direct Engagement: The author speaks directly to the reader using 'you' and 'your', often ending with a clear, low-friction command.

Addressing the Reader

The author uses the first-person ('I' or 'We') to establish a narrative and the second-person ('You') to create a bridge to the solution. Suggestions are framed as direct commands ('Try this', 'Share this', 'Save this') rather than soft recommendations.

1. The Hook: A specific observation, a personal failure, or a surprising metric.
2. STRUCTURAL FLOW & LOGICAL PROGRESSION
2. The Friction: Identifying a common pain point (e.g., reading 800 reviews, stenice/bedbugs, scaling issues).

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