Luka Beverin 🧩

📈 Building ibento .. GA4 events that make sense (finally)

[Codez @0xCodez]

Jev Founder, Diogo Almeida (ex-OpenAI):

"The next era is not the Claude Code era. Claude Code is still part of the assistance era - Jev is the next step

Jev is x200 faster, x400 cheaper and has 0 hallucination. This is what comes after RLHF"

In 17 minutes he explains why every model you use has a human-shaped flaw baked into it and why Jev is better

worth more than a $500 Claude Code engineering course

watch today, then read how to actually boost yourself x100 with Jev in the post below

[Luka Beverin 🧩 @lukabeverin]

@levelsio I was there last week. eSIM and it worked. This “It didn’t work for me so doesn’t work for everyone” is such a crazy take lol

[voxium @v0xium]

I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

[Matt Canham @matthewcanham]

I've had many people reach out saying they've read everything they can about Jev but still don't get it. Here's an explanation for the normies https://t.co/G7b7mZZwRl

[AI Edge @aiedge_]

Jevs Founder, Diogo Alemdia, gives a FULL masterclass on using Jev.

Bookmark this if you want to unlock more productivity:

[Massimo @Rainmaker1973]

This is perhaps the best thing produced by the internet in recent history.

[📹 linda. buzz.official]

[小小东 @xiaoxiaodong]

GPT2 x 优化 x 治愈 x 美学提示词 x VOL.055

向往意大利的我
特别用这种配色和浅浅的油画质感
打磨出了这套提示词风格

用治愈系颜色和笔触仔细拾掇：
一束光。
一个动作。
一个空间关系。

prompt by xiaoxiaodong:

```
😍😋
请将我上传的每一张照片分别制作成一张独立的高级设计海报，不多图拼接，每张照片单独输出。整体采用3:4竖版构图，延续上下双层逻辑：上半部分为真实摄影，下半部分为基于主体叙事的绘画式重构

上半部分保留原始照片，保持主体身份、结构、姿态、真实质感、自然光影和原有色彩氛围，仅进行轻微高级摄影调色，使其具有艺术杂志、独立出版物与展览摄影质感。为适配画幅，可自然扩展环境背景，但不得拉伸、扭曲或改变主体。

下半部分提取照片中最具识别性的主体、轮廓、姿态与叙事关系，重构为一幅更具艺术感与版式感的绘画式画面。不要完整描摹照片，也不要再使用贴纸拼贴逻辑，而是只保留最值得被记住的视觉线索，将复杂场景压缩为清晰的主体关系、几组关键块面与安静留白，使人一眼认出原物，同时感受到记忆化、概括化与重新组织后的叙事美感。

整体画风参考温柔、明亮、治愈的粉彩绘画质感：像厚涂水粉、丙烯、粉蜡或带有油画刀痕迹的手工绘画，色块柔软，笔触清楚但不粗重，边缘干净中带少许松动，具有轻微颜料堆积、覆盖与手工触感。避免贴纸感、光滑矢量感、3D塑料感和过度写实。

构图应比普通插画更专业，重视视觉重心、主体落点、留白比例、前后层次、块面节奏、方向引导与版式秩序。主体可适度偏心、放大、裁切或集中于中下部形成明确叙事核心，背景与次要元素主动删减，只保留少量最能支撑氛围的景物、空间线索或环境关系，让画面既有呼吸感，又有明确的主次与阅读路径。

色彩延续你当前喜欢的逻辑：整体采用柔和、通透、略微去饱和的高级色系，可从原图中提炼综合色温进行调整，但整体保持轻盈统一。以浅粉蓝、雾蓝、天空蓝、空气感冷调蓝营造主氛围，再以象牙白、奶油白、浅米色、柔和灰绿、建筑中性色保持平衡；可加入少量 blush pink、soft peach、dusty rose 或 muted blush 作为局部点睛，使画面更有 ins 治愈感、呼吸感与精致层次。避免脏灰、过强反差、高饱和撞色和廉价复古感。

文字不预设固定标题、编号、地点或语种，也不采用菜单式信息。应根据照片的主体、动作、环境、情绪、记忆或文化语境，自由生成极少量真正有意义的字、词、短句或片段，并通过更专业的排版自然融入画面。文字可进入留白、贴近主体、沿视觉轴线排列，或作为边角注记参与构图；整体保持小、轻、克制、精致，像独立出版物中的编辑性文字，而不是商业标题。

整体气质应像一本独立出版的视觉手册或艺术旅行刊物：温柔、明亮、治愈、现代、安静、松弛，同时具有明确的主体叙事与高级排版秩序。 避免贴纸逻辑、完整写实风景、细碎堆积、粗重轮廓、模板化海报感、电商插画感、卡通感和过度装饰。
😍☺️
```

[蛋黄堡 @Hamburgerai]

很喜欢这种把旅行照片收进田野笔记里的方式。
照片留住现场，旁边那枚略微缺墨的彩色橡皮章，只刻下最值得记住的轮廓。
树、穹顶、海岸都没有被讲满，反而像旅途中随手盖下的一页，安静，又很有地方感。

prompt：
请将我上传的每一张照片分别制作成一张独立的「橡皮章旅行田野笔记海报」，每张照片单独输出，不要多图拼贴。

整体采用4:3横版构图，将画面划分为左右两个区域，但不要绘制明显的分隔线。

左侧约占画面58%，忠实保留原始照片。准确保持主体身份、地形、建筑、植物、人物、空间关系、自然光影、真实质感和原有色彩氛围，仅进行克制的艺术出版物级摄影调色，并加入极轻微的细腻胶片颗粒。为适配版式可以自然裁切，但不得拉伸、扭曲、移动、替换或重新绘制主体。

右侧约占画面42%，使用温暖的米白色旧纸作为背景。纸张具有细微纤维、天然颗粒、轻微使用痕迹和哑光触感，同时保留大面积未经印刷的纸张留白，让空白成为版式的重要组成部分。

分析原始照片，从中提取最具地点辨识度的主体轮廓、建筑结构、地形走势、植物姿态、道路、水岸线或其他关键视觉关系，将其压缩成一枚小型多色橡皮章图像。

不要逐项复制照片中的全部内容。只保留能够让人一眼认出原始地点、主体和场景关系所必需的最少信息。删除人群、车辆、密集窗户、重复建筑、细碎植被、装饰构件和无关背景。

章印位于右侧纸张区域的中下部，整体只占右侧区域高度的约30%—38%，周围必须保留充足留白。章印不能放大成普通插画、完整风景画或品牌Logo。

根据原图构图决定章印的组织方式：

- 标志性建筑：保留最有辨识度的外轮廓、屋顶、穹顶、拱门、塔楼或主要结构。
- 山地聚落：将建筑压缩成沿地形排列的少量阶梯状色块。
- 海岸风景：保留山体走势、聚落层级、岸线和少量断续水纹。
- 城市远景：保留主要天际线、一个标志性建筑及一两层远山。
- 自然景观：保留主要山体、树木、水岸或道路的方向关系。
- 近景遮挡物：如果其对原图叙事重要，可作为前景章印轮廓保留。

从原始照片中提取2—4种专色油墨。优先使用炭黑、深绿、砖红、赭黄、灰蓝、灰褐等经过降低饱和度的颜色，但不得强行套用固定色盘。保留原照片最有辨识度的色彩性格，仅允许一个小面积颜色作为视觉强调。

每一种颜色都要呈现为分别手工盖印的效果：

真实橡皮章雕刻纹理、手工刻痕、粗细不均的排线、轮廓缺口、断裂边缘、干燥缺墨、纸张透底、颗粒状油墨、压力不均、局部重影，以及约1—2毫米的轻微套色偏移。

不同色层之间允许出现自然错位，边缘不能数字化平滑。印迹应像真正刻制后压在旧纸上的橡皮章，而不是套用滤镜的照片、平滑矢量插画或线稿Logo。

根据照片中的地点、主题和视觉意象生成文字：

地点英文名称
No. 编号
三个简短英文关键词
西元年份

文字放在章印下方或邻近留白处，使用小型、克制、略带机械误差的打字机字体。排版应像旅行者的田野记录，而不是广告标题。确保所有文字拼写准确，不添加无关标语、品牌或装饰性文案。

整体气质像建筑师、旅行作家或自然观察者保存的田野笔记：安静、克制、触感真实、地域明确、带有手工误差和收藏感。照片负责记录现场，章印负责留下记忆中最值得辨认的部分。

Avoid：明显的中央分隔线、圆形印章、中文红色印章、邮票齿孔、蜡封、贴纸拼贴、旅游纪念品模板、平滑矢量Logo、通用城市图标、完整复制所有建筑、密集刻画、儿童手工感、卡通风格、3D渲染、塑料质感、光滑数字渐变、过度饱和、过多文字、装饰堆积，以及重绘或改变左侧原始照片。

[Steve Burns @SJosephBurns]

Hey @grok

What’s the underrated asset or technology today that could deliver 10x-100x upside by 2030 — like Bitcoin in 2013 — but most people dismiss as hype?

[Aakash Gupta @aakashgupta]

This is an absolute masterclass from MIT on how to speak

[Luka Beverin 🧩 @lukabeverin]

@mdnlabs Just shipped https://t.co/VOaOKvjqTu
The idea is simple but solves a really big pain, to organise your GA4 tracking events

[Luka Beverin 🧩 @lukabeverin]

@Kh5065 Yo let’s go

[Luka Beverin 🧩 @lukabeverin]

@ahdebee Let’s connect 🤍

[Upen @upen946]

Biggest SaaS lesson I’ve learned:

Build boring products.
Sell them to people with budgets.

[Luka Beverin 🧩 @lukabeverin]

@adsafayet WDYM? 99% designers deliver that quality. It's a shadcn dashboard. Here, so you don't need a "designer"
https://t.co/yTAxvNVpJK

[Luka Beverin 🧩 @lukabeverin]

When I first started following the indie hackers trend, grifters were over-inflating their revenue. Now it looks like it's hip to be honest and even be proud of 10$. Hope it stays on this trend

[Luka Beverin 🧩 @lukabeverin]

I used to think Spotify wrapped was driven by some complex machine learning algorithm.. but then I realised it can done with just a simple SQL query. That’s the thing with good analtytics, it almost looks like magic

[Luka Beverin 🧩 @lukabeverin]

@Prachi_2050 NVIDIA RTX PRO™ 6000

[Luka Beverin 🧩 @lukabeverin]

Just another indie SaaS hacker about to start his “follow my journey from day 1” crap

Yes that’s me

[Luka Beverin 🧩 @lukabeverin]

@Robert_Watkin_ I went from 1x-2x per week to zero in the last 2 years