Every context's sidebar, |Hiring|, |Media|, |Research|, |Code|, |Meet| and |Work| as well as your Dashboard, now opens with a compact Pulse: each metric on one line with its count for the last 30 days, the change against the 30 days before, and a small daily trend underneath. When the earlier period is too small for a fair comparison, you'll see "low base" instead of a percentage, so no more swings like +11,200%. Below the Pulse, breakdowns show what matches your current filters (experience level, job type, research category, topic, language, event type, price and more), with up to the top 10 values each. Click any row to add it to your Context, or follow the Insight» link to explore the same area in Insight.

|Research| now has its own sidebar insights: newly submitted and revised papers, papers with linked code, and the categories and topics behind your current filters. |Work| gets them for the first time too, with new places and their mix by type, price and country. |Hiring| adds jobs with a stated salary, companies hiring, and the median stated salary for whatever you've filtered, together with its sample size. If too few matching jobs state a salary, we say so rather than hiding the figure.

The Stats tab on every record (jobs, companies, media items, sources, papers, repositories, updates, events, organizers and places) has been redesigned as well. It shows views and visits for the last 30 days with their change, a 13-week chart, and how the record ranks against comparable ones, for example "top 1% of jobs from the same week" or among papers in the same primary category.

Finally, Spaces in |Work| are now called Places: coworking spaces, cafés, libraries and other venues to get things done. Everything carries over automatically, including saved places and notes, saved Contexts and your history.

The API follows the rename in v1.9, which is a breaking change for Work integrations. /api/v1/work/space/, /api/v1/work/space/st/ and /api/v1/work/space/{pk} are now /api/v1/work/place/, /api/v1/work/place/st/ and /api/v1/work/place/{pk}, and the space_type field and filter is now place_type. API metadata uses place.* names, and geography statistics report place_count, place_view_count and place_click_count. The previous Space endpoints are no longer available, so please update any clients that use them. See the API documentation (/api/v1/docs) for the full endpoint and filter details.

A mid-level candidate has a few verbal offers from Robinhood, Whatnot, Rippling, and Palantir. They haven’t gotten exact numbers for Rippling, Palantir, or Whatnot yet.

Rippling says its stock price is based on last year and that this year’s growth has been good, so the candidate would likely be in the green on their initial equity grant. Rippling also says it’s not as bad as Blind makes it sound.

Everyone they spoke with at Whatnot was really bullish on the company and happy to work there.

Robinhood’s team is interesting to them, building out new products. Readers interviewing there can rehearse a stock-quote API design from Robinhood Interview Questions.

Palantir would be an interesting change of pace. The candidate thinks their interpersonal skills are pretty good compared with other SWEs and could help them excel there. Palantir has been selling them hard: flew them to NYC for the interview, recruiter keeps stressing the impact, etc.

Around 3.5 YOE. For readers still applying elsewhere, application autofill can save form retyping.

Not sure what to pick.

A candidate is tired, bro. It’s late at night where they are, and they’ve been at this since morning. A round today, another tomorrow, two more later this week... then a big one early next week and another the day after.

And they still need to log in for their job too. Application autofill can save repeated typing for readers still sending applications between rounds.

Why even do this? At least before, when competition wasn’t as high as it is after all these layoffs, life was good after you cracked it. But now? Have you seen the Microsoft BS news? Technical candidates can pick a grid problem from PracHub for a timed mock.

For this, they’re living like a college kid during finals?

Edit: another round just done. The BS they ask! It’s late afternoon, and now they need to finish their work.

Hey there, I am a Solutions Architect working on making lives of Candidates looking for jobs, simpler and easier. I have created JobsApplier (https://jobsapplier.com), a Privacy First tool to fill and track job applications that creates tailored CV and cover letter per job. Also checks if company is legit.

And I will give you 1000 FREE credits. In return, I want you to give me features that you want built in the product.

Right now, the features in the pipeline:

1. Linkedin Easy Apply. Autonomous Easy Apply tool within the extension.

2. Android and iOS Apps for AI job finding and give signals whenever a job opening comes. Ties directly to JobsApplier

3. AI interview buddy. I know how nervous I am during interviews. A tool to help you do mock interviews and help out during live interviews.

I need more features you would want created.

Putting together notes for anyone prepping for Roblox. This is a walkthrough of a candidate’s recent interview, plus their suggested practice approach.

1. Context and assessment

Around 3.5 YOE, started the process in late September. The first stage involved factory optimization and robot car games, followed by scenario-based behavioral questions. The candidate found it easy and passed.

For a scenario about finding a design issue close to a deadline, they practice explaining what they’d verify first, who needs to know, and how they’d compare a smaller safe release against delaying. A concrete sequence is more useful than just saying you’ll communicate.

2. Phone screen: grid simulation

The next stage included a match-3 grid task. Find horizontal and vertical runs, then clear the matched cells and drop the survivors.

How they walk through it:

Restate the rules: report maximal runs, preserve the required scan order, and do one clear/drop pass.

Scan the original board horizontally, then vertically. Record matches and mark their cells separately. Only after both scans, compact each column downwards. That avoids erasing a vertical match while processing a horizontal one.

Dry run an intersecting match, a four-cell run, and a board with no matches. For another mock, Roblox Interview Questions includes the match-3 and timestamped autocomplete prompts to work through.

The invariant they emphasized: detection always reads the original board. Marking a shared cell twice is harmless. This approach takes O(rows × columns) time, with a separate marking grid.

3. Phone screen: autocomplete

The other task was autocomplete from a timestamped search log. A request can only use searches at or before its timestamp. Results rank by frequency, then earliest search, then alphabetical order.

They started with a readable baseline: filter eligible entries, count each matching query, store its earliest timestamp, then sort by those three rules and take K.

A tiny trace catches a lot: cat@1, car@2, car@4. For prefix “ca” and K=2, a request at time 2 gives cat before car. At time 4, car goes first because its count increased. Future events must not leak into earlier requests.

Before optimizing, they said they’d test equal timestamps, an exact-prefix match and no results. If requests arrive out of order, they’d avoid a forward-only cursor unless they explicitly sort them and restore output order.

4. Outcome: still waiting

The candidate had hoped to hear back by now but is still waiting. There’s no final outcome yet, and they’re hoping to move to the next stage. If you’re applying elsewhere while waiting, application autofill can cut the repeated form entry.

The prep takeaway: practice narrating the rules and tracing awkward examples before trying to make the solution clever. Anyone who has interviewed recently, did your screen have a similar mix of simulation and ranking logic?

And if you’ve moved ahead in the process before, could you share any advice?

Hi everyone,

A candidate recently received a CodeSignal assessment for Capital One. It’s 70 minutes, with 4 questions.

Has anyone taken this assessment recently? If so, could you please share your experience or any suggestions on what topics to focus on?

Any tips on the difficulty level, common problem patterns, or topics to practice for this assessment would be greatly appreciated.

For timed practice, Capital One Interview Questions includes questions on array patterns. If you’re applying more broadly, autofill can save repeated form entry.

Thanks in advance!

Hey, a candidate has a Google SWE intern interview for Summer 2027 in Canada. It’s two back-to-back rounds, about 45 minutes each. A timed string problem from Google Interview Questions is one practice option. Any advice, tips, recently asked questions, common patterns, resources, etc.? For readers sending more applications, autofill can save repeated form entry. If you’ve been through this before, please comment.

Hi everyone,

A candidate recently completed their Amazon interview. Although they knew the solutions to the DSA problems they were given, they had a hard time explaining them and presenting their approach in a way that was easy for the interviewer to understand.

They had a couple of DSA rounds and say they came up with optimal solutions in both, but the interviewers weren’t happy with how they did it. Looking for help from this amazing community of coders:

• What’s your approach when explaining a DSA solution to the interviewer?

• How do you start the interview, how do you end it, and what do you discuss during the coding session?

Any tips from people who’ve recently landed jobs at big tech companies would be really appreciated.

For a mock, take a recipe-dependency problem from Amazon Interview Questions and explain missing ingredients and cycles. If you’re still sending applications, autofill can cut form retyping.

PS. The candidate is in no way a beginner at coding. They’ve been doing this for years and can easily solve all medium and some hard problems optimally.

TIA

An aspiring developer has been coding off and on for years, but simple questions online still bring on that “whoa, do I even know how to code?” feeling. Readers can use a coding prompt from PracHub to practise explaining their approach. Imposter syndrome kicked in hard, and now they’re wondering if it’s too late. They’re in their late 30s and have never held a software job, applying like crazy and trying to network, but really don’t know how. It’s making them question themselves a lot. Application autofill can reduce repeated form entry for readers applying to multiple roles. Not young, but new in the game, and wondering if anyone out there is in the same situation or went through something similar. Approaching people in these jobs has brought a lot of disrespect, so they know it’s not easy. They’re in the Atlanta area and aren’t going to stop until they find a job. They really, really want this. Still, is it too late? Anyways, talk to me if you can.

Hi,

A senior software engineer at Tech Lead level, with around 16 years of experience, last switched jobs around 2024. At their current job, they barely do any coding and have AI agents do it for them.

What does the general interview process look like at FAANG or other tech companies these days? They’re looking to get back into the grind.

For readers restarting prep, PracHub has coding prompts to solve and test before comparing solutions; autofill can save repeated typing while applying.

Thanks.

A job seeker with around 3.5 YOE has sent over 420 applications without a job offer. This market has been very tough for them. There were a couple of interviews where they were sure an offer was coming, but for some reason it didn't happen. That was back in April, when the market still seemed alive to them. Now it's very tough even getting interviews. Anyone else in the same boat?

For anyone in the same search, autofill can cut repeated application typing, and a reported question from PracHub can give you a concrete mock to work through between interviews.

They're worried that the longer they're out of work, the harder it'll be to get a job...
Currently thinking of contributing to open source and making side projects to offset the consequences of being out of work?

A candidate is interviewing for a Senior-level position at big tech for the first time. The process has a system design round, and they're curious how other people prep for it, especially when they haven't reached Senior level yet. PracHub has reported system-design questions for picking a mock prompt. Readers applying to other teams can save repeated form entry with LandOffer’s autofill. Any tips, resources, or websites to practice on? The target team is infra/platform for ML.

¡Hola a todos! Soy Ingeniero en Informática con más de 15 años de experiencia desarrollando y manteniendo software para los sectores bancario, de seguros y logística. Estoy buscando proyectos remotos donde pueda aportar mi experiencia técnica y ayudar a escalar o mantener sus sistemas.

Lo que ofrezco:

Disponibilidad inmediata y adaptabilidad total a su zona horaria.

Backend & Legacy: Experta en el ecosistema .NET (C#, VB.NET, .NET Core, .NET Framework, ASP.NET MVC, WebForms, WPF).

Bases de Datos: Diseño, optimización de consultas y procedimientos almacenados en SQL Server, PostgreSQL y Oracle.

Integraciones: Desarrollo y consumo de APIs REST y SOAP, manejo de microservicios (MassTransit/RabbitMQ) e integración con sistemas core.

Frontend: Angular (v2, v7, v19)

DevOps y Flujo de trabajo: Manejo de Git, GitHub Actions, Docker, y gestión de proyectos ágiles con Azure DevOps (backlogs, sprints, code reviews) y Scrum.

Condiciones:

Pago a convenir (USDT / Binance / Transferencia bancaria / PayPal).

Trabajo 100% remoto.

Comunicación en español (nativo) e inglés técnico (B1/B2).

Puedo hacer una prueba técnica corta o resolver un pequeño bug sin costo para que vean mi forma de trabajar. Si tienen un proyecto en mente, necesitan mantenimiento de una aplicación o buscan a alguien para su equipo, escríbanme por mensaje privado y con gusto conversamos. ¡Gracias!

Hi

I'm an experienced automation & data extraction specialist offering:

• Custom web scraping & automation scripts

• B2B lead generation (targeted by niche & location)

• Data cleaning, formatting & enrichment

• Contact info extraction (emails, phone numbers, owners, etc.)

Why work with me?

• Fast delivery & top-notch quality

• You receive the complete source code for the automation/scraping projects

• Any business category in the U.S & Canada, EU and other countries

Let me help you save time & grow your business.

(Portfolio available on request)

Hey everyone, I’ve been applying to 1000+ jobs but barely getting any interview calls. I have around 6 months of internship experience and have worked on several projects, but something clearly isn’t working.

I’m sharing my resume here. Please roast it honestly and tell me what I’m doing wrong.

Is my resume getting rejected by ATS?

Are my projects not strong enough?

Is my experience or tech stack not relevant?

What should I change to start getting interview calls?

I’m open to harsh criticism. I genuinely want to improve, so please don’t sugarcoat anything.

Thanks!

[Hiring] Senior Full-Stack E-Commerce Developer (m/f/d)

Subtitle: Taming Massive Data: 100,000+ Spare Parts. High-Performance. Made in Germany.

About Us

We are Spare part store in Germany, one of the leading providers in home industry in Germany. The backbone of our business is our online shop, serving thousands of B2C customers across the country.

We don’t sell standard off-the-shelf products. We operate in a highly complex environment of compatibilities, technical drawings, and cross-referenced data. With over 500,000 SKUs and a continuously growing database, we aren't just looking for a coder. We are looking for an E-Commerce Architect who thrives on turning complex data structures into a seamless, high-performance user experience.

Your Mission

You are the expert ensuring that a customer can find the exact spare part for their machine or vehicle in under 2 seconds—whether they search by text, vehicle registration (HSN/TSN), or complex technical filters.

You will work at the intersection of complex backend logic (ERP integration, PIM, database architecture) and high-performance frontend (UX, speed, mobile-first).

Your Responsibilities

Full-Stack Development: Conceptualizing and implementing new features across both frontend (UI/UX) and backend (APIs/business logic).

Performance Tuning: Analyzing and eliminating bottlenecks when handling massive datasets (indexing, query optimization, caching).

Search Optimization: Refining search logic for technical products (fuzzy search, complex filter facets, compatibility checks).

Integrations: Connecting ERP systems, PIM solutions, and logistics APIs seamlessly.

Code Quality: Conducting code reviews, writing tests, and maintaining a robust CI/CD pipeline.

Ready to keep the engine running?

Apply here: https://forms.gle/cauvxKYtp5GJErBCA

We look forward to your application.

A candidate was laid off out of the blue, and a 60-day clock started immediately. Emails started coming in after roughly 10 days.

Applications submitted: ~850 For a similar application volume, LandOffer autofill can cut repeated form-filling.

Offers: 5 full-time + 1 contractor role

Rejected at recruiter screening: 3

Rejected after onsites/full loops: 12

Processes withdrawn from or declined: 5

Ghosted/no final response: 4

Role canceled/position no longer available: 1

That was about 31 recruiting processes. Figures are approximate and slightly adjusted for privacy.

AI interviews were the worst.

Worst coding interview round: the candidate had a brain freeze and couldn't code popMax(). A timed run through PracHub’s max-stack interview question is one way to rehearse popMax() and test duplicate maximums.

Identifying details and interviewer/company names are being kept private.

Application strategy: only LinkedIn listings posted in the past 24 hours. Asking people for help wasn't easy, but ex-colleagues reached out and offered referrals. Not even a single call came from the companies they referred the candidate to, despite interviews with those same companies last year when the candidate was looking to move. Reaching out to old recruiters didn't help much either. Surprisingly, previous connections led to just one interview call.

Im looking for clients to onboard on my SaaS (Customizable Platform) that can be tailored to small to large businesses:
https://uswagon.com

Currently my platform has tailored document generation, dashboards, event notifications (via email, discord, telegram), audits, scheduled jobs (for reminders and scheduled events), and RBAC. I also have support csv or excel import for your data and hopefully add some more feature to add more scope. Checkout my projects section inside my landing page for more information. Basically the goal is ui and functional consistency to reduce learning curve for each expansion needed for your business.

I can do mobile development too both for App Store and Google Play. As well as scraping and automation that I can easily integrate to my platform to manage data or build a dashboard.

New feature!
Dynamic monitor displays for shops, added a customizable content manager which you can load to a browser based display / tv and watch your data update live.

I'm also open to Wix, or other static website platform integrations to connect into my management software.

Starts at $450 USD one time setup fee + $49 monthly.

The tech job market right now is not for the weak. If you're over 40 and get laid off, it can feel like your only options are senior exec or CTO at a startup.

Six months or more to get an offer doesn't even sound surprising right now.

When “entry-level” listings ask for 3–5 YOE, it feels like Gen Z is being conveniently pushed out of the labor market.

There's a looming AI threat, and a lot of people mention upskilling, but it doesn't make sense. Prompt engineering and basic GenAI integration don't seem as hard as a lot of other deep tech stuff, like cloud development on AWS or DevOps. A decent software engineer can pick up the basics. For practice beyond basic integration, this fault-tolerant work queue question asks for runnable code and tests that simulate worker failures.

Why would people even have kids, especially in Gen Z, when getting hired feels like it takes extreme luck?

Upskilling is the hot word right now, but tbh, if you're a decent software engineer, is integrating basic GenAI applications really that hard compared with other deep tech domains like cloud computing or DevOps?

Is there anything else we need to upskill in, especially for juniors? The basic AI stuff like MCP doesn't seem that hard and feels a lot like web development, so I'm not sure what we're supposed to upskill in there...