30,000 students is crazy, they really found a lane with this
Stepful (YC S21) trains people for healthcare jobs and helps health systems fill critical staffing gaps.
After training 30,000 students last year, they now work with 39 healthcare systems, including seven of the 10 largest in the US, and recently raised a $55M Series C.
In this fireside, YC's @sdianahu sits down with co-founders Carl Madi and Tressia Hobeika to talk about how they saw a broken path into healthcare jobs and built Stepful to fix it. They share how the company grew from helping individual students become medical assistants to working directly with some of the countryโs largest health systems, and how AI is helping them make that training more personalized and scalable.
00:00 โ Tackling the Healthcare Worker Shortage
03:40 โ Building a Faster, Cheaper Path to Healthcare Jobs
06:57 โ AI Tutors and Local Hands-On Training
steve retweeted
โข Built seller role-based access with routes, controllers, models & ImageKit service integration in my project โ๏ธ
โข Revised DSA concepts to strengthen problem-solving ๐ป
โข Continued learning UI/UX design ๐จ
โข Practiced GATE aptitude questions ๐ง
#100DaysOfCode
Fantasy deadlines always sneak up on me, gotta get them subs in
Beat the 18:45 CET fantasy deadline ๐จ Make your subs before Wednesday's games ๐
๐ uefa-gaming.onelink.me/C7mD/โฆ
#UCLfantasy
Mfs will add every tool they know and still can't explain the setup ๐คฆ๐พโโ
I need to see the minutes before I touch any Hali props coming off that injury
KBโs October 21st NBA Prop #1 ๐
The Best Over In The NBA Tomorrow! โญ๏ธ
Labbed w/ @PonderingPicks ๐ฒ
Tyrese Haliburton โOโ 8.5 Assists
๐๏ธ "My goal this year is to be the best version of myself that there's ever been. That's 100% my plan. I feel like this year the world will get the best version of Tyrese Haliburton."
After hearing something like this come from a player you would think theyโre talking about scoring more which Tyrese could be talking about here a bit but I think what heโs really talking about is looking to dish his teammates and get all of them more involved with scoring.
Haliburton looked pretty solid in the preseason as he did average only 18 minutes per game but again you have to keep in mind heโs coming off an achilles injury plus it is the preseason. Thereโs no official news out of how many minutes he will play in the season opener but my prediction is anywhere around 27-30+ minutes hopefully.
In the three preseason games he played, he did go under in all three games but he did put up 6 assists in 2/3 of those games in just 20 and 16 minutes.
Now he gets a really nice matchup against the New Orleans Pelicans who last season allowed the 5th MOST assists to opposing PGโs last season. They havenโt really made any changes to their lineup in the offseason so their defense should continue to be just as weak as it was last season.
Against teams that rank bottom 10 in this category, Haliburton is over this line in his last 5 STRAIGHT and last 16/20 games averaging 10.8 assists per game.
He has some pretty good history versus the Pelicans too as with 23+ minutes played heโs over this line in his last 4 STRAIGHT games against them averaging 11.8 assists per game along with an average of 19.8 potential assists per game.
The Pacers did struggle at the Center position last year which made them go out and trade for Ivica Zubac which I think could really benefit Tyrese here with racking up assists especially with some PnR plays both Hali and Zubac will be running.
On top of this overall the Pelicans paint defense was one of the worst last season as they had Yves Missi at Center for them. They allowed the 4th MOST assists in the league last year, I think he should get plenty of easy dishes in the paint tomorrow.
If you can somehow still get good odds for him to get a double double tomorrow then I would definitely take it for 0.5u because I think we should see the Hali we saw before his injury.
Drop a โค๏ธ if youโre tailing this play!
๐ @propsdotcash
#Gambling #GamblingTwitter #NBA
#PrizePicks #UnderdogFantasy #SleeperPicks #Chalkboard #PlayerPropBets #DraftKingsย ย ย ย ย ย ย ย ย ย ย ย #ChalkBoard
AI making code easier just means the people who can actually build useful shit win
part 4 of "software is taking off"
through recent discussions i realized many people saying "software is dead" were actually thinking about software engineering as a profession
so.. is software engineering dead?
when i was a kid, my mom was an accountant. when i was doing my homework in the evenings, I would hear the sound of her using abacus. it was very loud and noisy
over the years, the sound of pushing abacus became punching calculators, then typing on keyboards, and eventually making phone calls. she just retired a few years ago, as a director of an accounting team
if you thought of the accounting profession as "pushing abacus", it died a long time ago. but if you understood accountants' jobs are actually "helping businesses make the right financial decisions", you'll realize it'll never stop being relevant
so whether software engineering is dead pretty much all depends on your mindset on what the profession even is
if your definition is "i write code others tell me to write", yup that's already dead
if it's some form of "i write very good code", it's not quite dead yet, but i speculate it'll be dead within the next 1-3 years. i'll link in the thread below another post where i explained why
so what's the type of engineer that's seeing growing demand?
fig. 1 shows SWE overall seeing a growth in job posting in the US. it tells quite a story when that's happening during a year when coding agents have seen the craziest advancements and adoption
fig. 2 shows a lot of the growth came from senior, or AI related roles. i will touch on why below
fig. 3 shows the rise of FDEs
the growing demand for software engineers is for those who has the right capability to solve problems with high precision, agency, and leverage - these traits have always been desired long before AI came along, and are seeing no sign of stopping
just think - when two competing companies both have access to the same AI, who wins? it's going to be their humans that make the difference, and they are going to get as many of such humans as they can
the software engineering profession has never been about writing punch cards, writing assembly, or writing C. it's never been about using vim, emacs, or visual studio. the code, the tools, and the activities have always been changing nonstop
the profession has always been about "solving problems with software". now there are a lot more problems that just became solvable, and everyone has gained quite an insane amount of leverage - there's never been a better time
Omar Cooper looking like the one everybody gonna be mad they didn't add last week ๐ค
๐ช๐๐๐ฉ๐๐ฅ๐ฆ: ๐ช๐๐๐ ๐ณ ๐
Top Waiver Adds ๐
๐ค๐: ๐๐ฌ๐๐๐ฅ ๐ ๐จ๐ฅ๐ฅ๐๐ฌ (ARI vs. IND)
๐ฅ๐: ๐ ๐๐๐ ๐ช๐๐ฆ๐๐๐ก๐๐ง๐ข๐ก ๐๐ฅ. (LV vs. LAR)
๐ช๐ฅ: ๐ข๐ ๐๐ฅ ๐๐ข๐ข๐ฃ๐๐ฅ ๐๐ฅ. (NYJ vs. MIA)
๐ง๐: ๐ง๐ฌ๐๐๐ฅ ๐๐๐๐๐๐ (LAR @ LV)
๐๐ฆ๐ง: ๐๐๐ง๐ฆ (vs. MIA)
Full Waiver Guide for Week 7 ๐
๐ค๐ ๐ฆ๐ง๐ฅ๐๐๐ ๐๐ฅ๐ฆ ๐ฐ
โซ๏ธ๐๐๐น๐ฒ๐ฟ ๐ ๐๐ฟ๐ฟ๐ฎ๐ (vs. IND)
Murray emerges from his Week 6 bye with a solid matchup at home against the Colts. His pass catchers should be healthy, and he showed a willingness to run again before the bye.
โซ๏ธ๐๐ผ ๐ก๐ถ๐
(@ ARI)
Perhaps no quarterback has drawn more negativity than Nix this season, but he now faces a Cardinals defense that has struggled most of the year.
โซ๏ธ๐๐ฎ๐ฟ๐ผ๐ป ๐ฅ๐ผ๐ฑ๐ด๐ฒ๐ฟ๐ (@ NO)
A great matchup against the Saints in a dome for the league's highest PROE offense.
๐ฅ๐จ๐ก๐ก๐๐ก๐ ๐๐๐๐๐ฆ ๐ฏ
โซ๏ธ๐ ๐ถ๐ธ๐ฒ ๐ช๐ฎ๐๐ต๐ถ๐ป๐ด๐๐ผ๐ป ๐๐ฟ., LV (vs. LAR)
Washington should probably already be rostered, yet he's only 30% owned. Jeanty is showing real signs for concern going forward.
โซ๏ธ๐ง๐๐ฟ๐ผ๐ป๐ฒ ๐ง๐ฟ๐ฎ๐ฐ๐ ๐๐ฟ., NYG (@ HOU)
The Giants backfield has been a mess, but Tracy is the most talented RB on the roster. Najee Harris was released, and Cam Skattebo has struggled with ball security. It's a tough Week 7 matchup, but bet on talent going forward.
โซ๏ธ๐๐ฒ๐ป๐ฑ๐ฟ๐ฒ ๐ ๐ถ๐น๐น๐ฒ๐ฟ, NO (vs. PIT)
Miller had 20 carries in Week 6 and is apparently the lead back for a Saints offense that's better than advertised.
โซ๏ธ๐๐ฎ๐ฒ๐น๐ผ๐ป ๐๐น๐ฎ๐ฐ๐ธ, SF (@ ATL)
The 49ers offense is elite, and Black has played well this season. Among the league's handcuffs, he's near the top in terms of the fantasy value a lead role would bring.
๐ช๐๐๐ ๐ฅ๐๐๐๐๐ฉ๐๐ฅ๐ฆ ๐ช
โซ๏ธ๐ข๐บ๐ฎ๐ฟ ๐๐ผ๐ผ๐ฝ๐ฒ๐ฟ ๐๐ฟ., NYJ (vs. MIA)
When a first-round pick goes over 100 yards with a touchdown in his first full game, pay attention. Expect a huge role for Cooper from here on out.
โซ๏ธ๐๐ฎโ๐๐ผ๐ฏ๐ถ ๐๐ฎ๐ป๐ฒ, BAL (vs. CIN)
Baltimore's training camp star returned in Week 6 with modest production. Rashod Bateman is now injured, and Lamar Jackson could return this week or next. Lane is positioned for a bigger role in an elite offense, with a potential shootout against Cincinnati.
โซ๏ธ๐๐ป๐๐ผ๐ป๐ถ๐ผ ๐ช๐ถ๐น๐น๐ถ๐ฎ๐บ๐, WAS (BYE)
Terry McLaurin suffered a season-ending injury in Week 6. Williams is Washington's most explosive receiver and led the team in snaps and routes.
โซ๏ธ๐๐ต๐ฟ๐ถ๐๐๐ถ๐ฎ๐ป ๐๐ถ๐ฟ๐ธ, SF (@ ATL)
Kirk was reportedly close to playing in Week 6 but sat out another week. With Mike Evans aggravating his hamstring injury, Kirk could walk into a big role in a decimated receiving corps.
โซ๏ธ๐๐ผ๐ป๐ฎ๐๐ฎ ๐ ๐๐บ๐ฝ๐ณ๐ถ๐ฒ๐น๐ฑ, LAR (@ LV)
Davante Adams is out, leaving Mumpfield as the likely WR2 behind Puka Nacua. He's a downfield threat who's already delivered one big game and is set up well against the Raiders.
๐ง๐๐๐๐ง ๐๐ก๐๐ฆ ๐ธ
โซ๏ธ๐ง๐๐น๐ฒ๐ฟ ๐๐ถ๐ด๐ฏ๐ฒ๐ฒ, LAR (@ LV)
Higbee disappointed in a great Week 6 matchup, but the Rams losing Davante Adams for the next couple of months should make Higbee's role critical going forward.
โซ๏ธ๐๐๐ป๐๐ฒ๐ฟ ๐๐ฒ๐ป๐ฟ๐, NE (@ CHI)
Henry has scored in consecutive games and is playing around 70% of the snaps for an offense that's playing very well. He gets a great matchup against Chicago this week.
โซ๏ธ๐ง๐ฒ๐ฟ๐ฟ๐ฎ๐ป๐ฐ๐ฒ ๐๐ฒ๐ฟ๐ด๐๐๐ผ๐ป, LAR (@ LV)
Ferguson returns from IR in Week 8, but his versatility and skill set separate him from the other Rams tight ends. He should effectively be the Rams' WR2 when he returns. Get ahead of it by picking him up now.
๐๐๐๐๐ก๐ฆ๐ ๐ฆ๐ง๐ฅ๐๐๐ ๐๐ฅ๐ฆ ๐
โซ๏ธ๐๐ฒ๐๐ (vs. MIA)
New York's defense has actually been solid this season, and picking on Miami has been a profitable approach so far in 2026.
โซ๏ธ๐๐ฟ๐ผ๐๐ป๐ (@ TEN)
Cleveland's defense has been up and down, but gets a matchup with Cam Ward and the Titans in Week 7.
โซ๏ธ๐ง๐ถ๐๐ฎ๐ป๐ (vs. CLE)
Tennessee is playing well defensively, while Deshaun Watson has been iffy over the last couple of weeks. Coming off a 20-point performance, the Titans could post another big game.
Check in every Tuesday for @mjohnson_86's Top Waiver Adds ๐ฅ
All three claims are wrong, that flag lets an already sorted list quit after one pass
This 3D penguin animation is a fun way to visualize Bubble Sort, except the Python code at the top actually breaks the algorithm with two critical flaws:
1. Setting "ok = True" at the start of every outer pass on line 4 forces an infinite loop whenever the input array contains duplicate numbers.
2. Checking "if v[i] > v[i+1]" on line 6 sorts the array in strictly descending order (from 8 down to 1) instead of ascending order.
3. Breaking on line 11 ("if ok: break") degrades best-case time complexity on an already-sorted array from O(N) straight down to O(N^3).
Hold onโtwo of my three code-review critiques above are completely backwards, while one detail in that loop really is a classic optimization trap.
Read lines 4 through 11 carefully: which of my claims above are dead wrong, and what does the "ok = True" flag actually do on a pre-sorted array?
I gotta try this on an old repo, that review loop sound clean ๐ค
๐งช My AI experiments.
I have a repo I havenโt touched in a while. Now I'm adding AI agents.
๐ค One agent finds issues.
๐ ๏ธ OpenCode (via GH App) fixes them on demand.
๐ Another AI reviews the PR.
๐จโ๐ป I make the final call.
This works really well for me.
github.com/piomin/sample-verโฆ
Kittle finna eat in that red zone tonight
10 THINGS TO EXPECT IN THE NFL TONIGHT
MNF W6: WSH v SF. 64ยฐF, 11% Rain.
1) No Croskey-Merritt (groin) for The Commanders tonight, which will leave Rachaad White as the lead back. Tough timing, as Daniels had only just returned to Washington last week and JCM was coming off his most productive game of the season.
White already played 60% of snaps last week compared to Ekeler's 10%; Expect him to handle bulk of carry and route share.
2) Commanders' backfield will be running into a beat up SF Front 7 that is missing Greenlaw (SUSP), Bosa (knee/calf), Wallow (hamstring) and has RDT Halton questionable. The Strong Safety Sigle is also out here with an ankle injury, so yea, injury bug is here.
On the season, The 49ers have allowed the 3rd highest Success Rate (45.1%), yet by far the lowest Explosive Rate (3%!!). This leaves us with 3 RBs already notching 20+ carries vs SF:
- Love 21 Att, 90 Yds
- Achana 20 Att, 74 Yds
- Wilson 20 Att, 61 Yds
Love leads the group at 4.3 YPC, with a long of just 8 yards.
3) It doesn't get much better injury wise on the offensive side for SF, with Deebo Samuel already ruled out and Mike Evans possibly joining him with a rib issue. Bear in mind this WR core is already missing Stribling, Pearsall and Robinson on IR.
From Larry Kreuger, "Just came off the field at #49ersโ Saturday practice. Based on what I saw, Iโd be very surprised if Mike Evans plays on Monday. He was off to the side."
4) With both Evans and Samuel out, Christian McCaffrey has generated 0.27 TPRR, followed by Kittle at 0.26 TPRR.
This season, The Commanders have ran 2-HI safety looks on 59.4% of opposing drop backs -- 3rd highest rate in the league. Logically, this coverage look funnels more receptions to RBs.
McCaffrey has notched 0.28 TPRR vs 2-HI, and 0.33 TPRR against their top individual look of Cover 2.
5) Hard to understate how incredible Brock Purdy has been. He is now the all time leader in EPA/Play (min. 48 GP), while leading the field in Passer Rating this season (119.3) despite facing three consensus Top 3 pass coverages in LAR, SEA and DEN. Wow.
Now, he faces a WSH secondary that not only ranks B10 vs backfield receivers (McCaffrey), yet also with these marks:
- 69.3% Catch Rate (24th)
- 1,380 Air Yards (21st)
- 11.2% Lead WR TGT Rate (28th, Evans ๐)
6) Jayden Daniels is of course a different QB, currently leading the field in Scramble Rate at 16.3%. The 49ers have given up just 5 scrambles this season, good for 2nd fewest in the league.
This stems from their high volume of 1-HI safety schemes, which they run at the 5th highest rate. Here is Daniels vs the other Top 10 in 1-HI Freq%:
- 7 Rush, 69 Yds vs DAL
2025
- 11 Rush, 68 Yds vs NYG
- 10 Rush, 52 Yds vs CHI
Conflicting.
7) Jayden Daniels has had his struggles against 1-HI, producing 5.02 Yds/DB, which ranks 34th of 42 QBs with >20 DBs.
We already noted the Front 7 injuries for SF, so would expect their current Top 5 Pressure Rate to regress a bit. Daniels has sat at a B5 1.63 Yds/DB against Pressure, so a clean pocket is really key to any hope at a WSH win tonight.
8) Stefon Diggs (hamstring) is questionable, yet didn't participate in Thursday's practice while being limited in Friday's. Granted, WSH limited a ton of their offensive contributors, so may be less important than typical.
He leads the team in TPRR against both 1-HI (0.25) and Cover 1 (0.24).
9/10) KICKERS, D/ST, TRENDS!
After The Broncos home-upset Seattle on TNF, non-Sunday primetime dogs are now 7-2 since Week 1.
No team is giving up more FGA/gp in their L3 games than San Francisco, at a whopping 3.7. This was most recently capped off by Jason Myers, who went 5/5 with all being 40+ Yards. It has now been 4 straight weeks where an opposing kicker has 3+ FGA.
The Commanders have given up 14 Pass TDs (3rd most) despite just 5 GP, with 12 of them occurring in the RedZone and 7 to Tight Ends (Kittle ๐).
steve retweeted
$NBIS has the same narrative problem with being labeled a neocloud that $PLTR had a few years ago with being labeled a consulting business.
Back then, it took a few days of research and an IQ >90 to see that Palantir was not building an IBM. Today, it takes a few days of research and a similar IQ to see that Nebius is not really like other neoclouds.
Palantir fought off that narrative through vision, relentless execution, and by scaling free cash flow. Nebius now needs to do the same.
If the data ain't organized, every question turns into a whole damn project
Good judges are the ones that make it easy for other agents to answer the questions you have about how your agent performs.
Letโs take a prompt that you might give to an agent to analyze a set of agent traces:
โLooking across the past month, where were users frustrated with my agent across different user and request types, what kinds of problems were causing their frustration, and were their problems resolved?โ
An agent analyzing these traces will struggle to answer this question. The scale of the question involves searching across millions of traces and digging through various semantic details across all of the traces on that timescale. SOTA coding agents still struggle with running analysis at this scale when traces arenโt annotated.
Getting your agent to do more accurate, deep, and token efficient analysis is conceptually the same idea as adding indexes to a database. Without indexes, queries have to do a full table scan, which is inefficient. Evaluating and analyzing agent traces is the exact same idea! The labels produced by judges become the indexes that analyzer agents can use to search across trace data more cheaply and efficiently.
Imagine looking through a million agent runs by hand. Now imagine you had a table of contents you could flip through instead!
Going back to the example question, the way that Iโd approach having this question answered is to create a judge that indexes my data on each dimension I ask about in the question:
โWhere were my users frustratedโ โ User Sentiment Judge
โacross different userโ โ User Type
โand request typesโ โ Request Type
โwhat kinds of problems were causing their frustrationโ โ Failure mode 1, Failure mode 2, etc.
โand were their problems resolved?โ โ Resolution Status
With these judges labeling my traces, instead of an agent having to read every trace in full and reason over each of them, itโs searching via indexes across spans, traces, sessions and with agent/LLM judges, a citation explaining why a trace received its label. Like a database index, the labels are pre-computed once instead of every time you ask a question, which is what makes the analysis both cheaper and more accurate.
The agent we offer at @JudgmentLabs filters and groups your traces with these labels and only views cited traces when it needs specific details. Its analysis goes straight to your coding agent as context through Slack and/or MCP to ship fixes and improvements to your agent.
Regardless of where you run your evals, itโs important that youโre setting them up to answer the question that you actually care about.





























